Data Jobs

76 jobs found

full time
onsite/hybrid in london united-kingdom

## **Building the Future of Crypto** Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. **What makes us different?** Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account here. As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Desktop, Wallet, and Kraken Futures. **Become a Krakenite and build the future of crypto!** ## **Proof of work** ## **The team** At Kraken, compliance is not just a function - it is a cornerstone of trust with our users, partners, regulators, and stakeholders. Our data team plays a critical role in ensuring full visibility into compliance obligations, regulatory reporting, and risk management across the business. We're looking for a **Data Analyst, Regulatory Analytics and Reporting** to join our team remotely! The #1 goal of this role is to turn complex compliance and regulatory data into clear, actionable insights that protect the business, satisfy regulators, and support senior leadership in making high-stakes decisions. You'll work at the intersection of data engineering, regulatory reporting, and compliance operations in a fast-paced, high-scrutiny environment where accuracy and audit-readiness are non-negotiable. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of compliance regulations and frameworks. You'll own end-to-end data management from building and maintaining datasets and pipelines to designing dashboards and insights for compliance and leadership teams. You will also automate compliance processes and workflows to boost efficiency and minimize human error. If you combine exceptional data analysis expertise with solid knowledge of compliance regulations, a keen eye for regulatory risk, and the drive to shape the future of crypto with a top-tier brand - this is your next mission! ## **The opportunity** - Own the design of dashboards, compliance metrics, and regulatory reports, turning data into actionable insights for stakeholders, cross-functional partners, and regional compliance officers - Automate end to end compliance related data solutions, governance controls, and automations to boost efficiency and minimize manual intervention - Dive into large, complex datasets to turn findings into scalable, audit-ready data models that facilitate regulatory reporting and analytics - Translate regulatory and business requests into accurate reports and automated data pipelines using Python, SQL, DBT and Airflow - Lead cross-functional projects with analysts, engineers, and compliance teams to build and maintain high-quality data pipelines and sources - Coordinate client data quality monitoring by identifying issues, flagging remediations, and partnering with responsible teams to ensure timely resolution - Support ad-hoc data requests for audits, exams, risk assessments, and day-to-day business needs - Deliver insights that shape compliance direction through clear, data-driven storytelling ## **Skills you should HODL** - 5+ years of experience in data analysis and data management within financial services or a regulated industry, with hands-on experience in compliance and regulatory reporting across frameworks such as AML, KYC, Sanctions, MiCA, or MiFID - Solid understanding of regulatory risk and the ability to operate effectively in high-scrutiny, audit-ready environments - Expert SQL skills including complex joins, CTEs, and analytical functions, paired with proficiency in Python libraries such as pandas, matplotlib, and plotly - Hands-on experience using dbt or similar tooling to model and organize high fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of data workflow orchestration - Proficiency with BI and data visualization tools such as QuickSight, Power BI, or Superset to build executive-facing dashboards - Strong communicator who can simplify complex data ideas for both technical and non-technical audiences - Alignment with the values outlined in Kraken's Tentaclements document ## **Nice to haves** - Degree in Mathematics, Statistics, Finance, Information Systems, or a related technical field - Passion for continuous learning and approaching problems with a beginner's mindset - Solid understanding of the cryptocurrency space and how financial markets function *Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.* *Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.* *We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.* Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! We may ask candidates to complete job-related skills or work-related tasks. As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. **Stay in the know** Follow us on Twitter Learn on the Kraken Blog Connect on LinkedIn Candidate Privacy Notice When applying, mention the word **CANDYSHOP** to show you read the job post completely.

compliancedata-analysiscrypto+3 更多
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1 day ago

full time
onsite/hybrid in united-states

## Senior Data Scientist - DeFi & Stablecoins Mysten Labs believes that decentralized and open protocols are the bedrock of the internet of value. This is why at Mysten Labs, we are creating foundational infrastructure to accelerate the adoption of decentralized protocols based on blockchain technologies. The data science team at Mysten Labs is looking to hire a **Senior Data Scientist** focused on **DeFi and stablecoins**, two of the fastest-growing and most consequential areas of the Sui ecosystem. This role sits at the intersection of product analytics, on-chain measurement, and market structure research, with a mandate to deepen our understanding of how liquidity, lending, DEX activity, and stablecoin flows behave on a high-performance, object-centric blockchain. This role requires existing web3 experience — you should already be comfortable navigating on-chain data, DeFi protocols, and the broader crypto ecosystem. On top of that, backgrounds in quantitative finance, trading, market making, exchanges, or fintech analytics are highly valued and will help you hit the ground running. You'll partner closely with product, engineering, and partnerships to conceptualize, measure, and report on DeFi protocol launches, stablecoin adoption, market maker performance, and broader ecosystem behaviors. The work spans descriptive dashboards, deep-dive research, and entirely new measurement frameworks for a rapidly evolving asset class. The ideal applicant has very strong SQL and visualization skills, a working knowledge of DeFi primitives (AMMs, lending markets, perps, stablecoin mechanisms), and the ability to merge quick iteration with creative ideation. Familiarity with concepts like TVL, volume quality, LP returns, peg stability, mint/redeem flows, and cross-chain bridging is a strong plus. Experience writing stable and maintainable analytics engineering pipelines is a plus, particularly in dbt, or similar frameworks, along with comfort orchestrating jobs against high-volume on-chain data. ### What You’ll Do: - Build dashboards that drive understanding of DeFi protocols and stablecoin activity on Sui for PMs, engineers, Partnerships, and the executive leadership team. - Run analyses on liquidity, trading volumes, lending utilization, holder behavior, and stablecoin velocity to identify high-impact opportunities for Mysten Labs and ecosystem partners. - Develop measurement frameworks for evaluating DeFi protocol health, wash trading detection, real vs. incentivized activity, and stablecoin adoption quality. - Collaborate with the data and engineering teams to set new standards for DeFi and stablecoin measurement across the industry. - Partner with BD and partnerships to measure the impact of integrations with major DeFi protocols, stablecoin issuers, and market makers. - Make data processing jobs run reliably in a lightweight, scrappy environment. ### What You’ll Have: - A deep interest in DeFi, stablecoins, and the role of on-chain financial infrastructure in daily life. - Strong SQL and visualization skills, with a deep desire to communicate clearly and captivatingly. - Hands-on experience working with on-chain data (e.g., Dune, Flipside, Allium, or raw node/indexer data). - Familiarity with DeFi primitives and key metrics (TVL, volume, LP economics, lending utilization, mint/redeem activity). - Strong attention to detail and a desire to work on data analysis as a collaborative discipline across data, engineering, product, partnerships, and marketing teams. - Bonus: experience with market microstructure, quantitative finance, or trading analytics. *Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.* *Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers.* *To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.* *Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

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1 day ago

part time
remote in USA

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home.A Day in the Life of an Online Data Analyst:In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwideCompleting research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information.Join us today and be part of a dynamic and innovative team that is making a difference in the world!TELUS Digital AI CommunityOur global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification pathNo previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic RequirementsFull Professional Proficiency in English languageBeing a resident in United States for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United StatesAbility to follow guidelines and conduct online research using search engines, online maps, and website informationFlexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevanceDaily access to a broadband internet connection, computer, and relevant softwareAssessmentIn order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience.Equal OpportunityAll qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

data-analysismachine-learningcommunity+2 更多
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full time
onsite/hybrid in washington united-states

## Cryptocurrency Investigator We're supporting a high-impact national security program at the forefront of cryptocurrency tracing and financial intelligence. This is a rare opportunity to work on real-world investigations, applying blockchain analytics to uncover illicit financial networks, rather than purely building dashboards or tooling. ### The Role 🔒 **Active TS/SCI with Full Scope Polygraph is required** You’ll work within a specialist team focused on: - Tracing cryptocurrency transactions and asset flows - Investigating illicit finance, darknet activity, and laundering methods - Analysing complex datasets to identify non-obvious patterns and targets - Supporting intelligence and operational outcomes tied to national security This role sits at the intersection of crypto, cyber, and financial investigations, with a strong emphasis on hands-on analysis. ### Why This Role? - Work on mission-critical investigations with real-world impact - Move beyond tools into true intelligence-led analysis - Join a highly specialised team tackling evolving crypto threats - Strong compensation and long-term program stability ### What They’re Looking For - Experience in cryptocurrency investigations, financial intelligence, or banking/fintech - Strong understanding of: - Blockchain fundamentals (wallets, transactions, nodes) - Crypto ecosystems (exchanges, OTC, payment providers) - Familiarity with tools such as Chainalysis, TRM Labs, CipherTrace (or similar) - Ability to work with data and conduct deep-dive analytical research ### Highly Desirable - Experience tracing wallets, IPs, and transaction flows - Knowledge of crypto laundering techniques (mixers, bridges, peel chains, etc.) - Understanding of DeFi, mining, and blockchain protocols - Exposure to darknet markets or high-risk financial ecosystems ### Location & Compensation - **Location:** 5-days on site in DC area - **Compensation:** $200k-$220k DOE with quarterly bonuses and great benefits If this looks like a job you are interested in please reach out - we are actively reviewing candidates! *When applying, mention the word CANDYSHOP to show you read the job post completely.*

cryptoblockchaindata-analysis+3 更多
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part time
remote in USA

Are you a detail-oriented individual with a passion for research and a good understanding of national and local geography? This freelance opportunity allows you to work at your own pace and from the comfort of your own home. A Day in the Life of an Online Data Analyst: In this role, you will be working on a project aimed at enhancing the content and quality of digital maps that are used by millions of people worldwide Completing research and evaluation tasks in a web-based environment such as verifying and comparing data, and determining the relevance and accuracy of information. Join us today and be part of a dynamic and innovative team that is making a difference in the world! TELUS Digital AI Community Our global AI Community is a vibrant network of 1 million+ contributors from diverse backgrounds who help our customers collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world’s largest brands. Qualification path No previous professional experience is required to apply to this role, however, working on this project will require you to pass the basic requirements and go through a standard assessment process. This is a part-time long-term project and your work will be subject to our standard quality assurance checks during the term of this agreement. Basic Requirements Full Professional Proficiency in Spanish language Being a resident in United States for the last 2 consecutive years and having familiarity with current and historical business, media, sport, news, social media, and cultural affairs in United States Ability to follow guidelines and conduct online research using search engines, online maps, and website information Flexibility to work across a diverse set of task types, including maps, news, audio tasks, and relevance Daily access to a broadband internet connection, computer, and relevant software Assessment In order to be hired into the program, you’ll take an open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity.

data-analysismachine-learningcompliance+1 更多
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10 days ago

full time
remote worldwide

# Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. ## Innovate with Tether * **Tether Finance:** Our innovative product suite features the world’s most trusted stablecoin, **USDT**, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: * **Tether Power:** Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. * **Tether Data:** Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like **KEET**, our flagship app that redefines secure and private data sharing. * **Tether Education:** Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. * **Tether Evolution:** At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. ## Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. **Are you ready to be part of the future?** ## About the job At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused. We are looking for a motivated and skilled machine learning intern to join our dynamic Brain & AI team for 3 to 6 months. This role focuses on developing AI models that enhance our understanding of neural mechanisms, building encoding and decoding models, and applying this knowledge to real-world applications such as brain-computer interfaces. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today. ## Responsibilities * Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. * Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. * Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. * Maintain high standards of code quality, organization, and automatization across all projects. * Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. * Write and revise papers, communicate and disseminate results. ## Requirements * Degree and currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience, or another quantitative field. * 1+ years of experience of working in industry or research. * Programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch. * Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling. * Scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions, and support claims. * Managing unstructured datasets with strong analytical skills. * Project management and organizational skills. * Proven ability to support and collaborate with cross-functional teams in a dynamic environment. ## Preferred Qualifications * Research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience, or another quantitative field. * Scientific publications in AI and neuroscience conferences or peer-reviewed journals. * Familiarity with deep learning libraries such as PyTorch, Huggingface, Transformers, Accelerator, and Diffuser. * Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs. * Experience with data and model visualization tools. * Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, etc.). ## Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: 1. **Apply only through our official channels.** We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ 2. **Verify the recruiter’s identity.** All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. 3. **Be cautious of unusual communication methods.** We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. 4. **Double-check email addresses.** All communication from us will come from emails ending in **@tether.to** or **@tether.io**. 5. **We will never request payment or financial details.** If someone asks for personal financial information or payment at any point during the hiring process, it is a scam.

machine-learninginternshipblockchain+4 更多
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full time
remote worldwide

# **Join Tether and Shape the Future of Digital Finance** At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. ## **Innovate with Tether** * **Tether Finance:** Our innovative product suite features the world’s most trusted stablecoin, **USDT**, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: * **Tether Power:** Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. * **Tether Data:** Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like **KEET**, our flagship app that redefines secure and private data sharing. * **Tether Education:** Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. * **Tether Evolution:** At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. ## **Why Join Us?** Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. **Are you ready to be part of the future?** ## **About the job** At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused. We are looking for a motivated and skilled machine learning intern to join our dynamic Brain & AI team for 3 to 6 months. This role focuses on developing AI models that enhance our understanding of neural mechanisms, building encoding and decoding models, and applying this knowledge to real-world applications such as brain-computer interfaces. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today. ## **Responsibilities** * Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives. * Collaborate closely with data scientists to pioneer research in generative modeling and representation learning. * Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability. * Maintain high standards of code quality, organization, and automatization across all projects. * Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs. * Write and revise papers, and communicate and disseminate results. ## **Qualifications** * Degree and currently involved in a PhD program in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience, or another quantitative field. * 1+ years of experience of working in industry or research. * Programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch. * Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling. * Scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions, and support claims. * Managing unstructured datasets with strong analytical skills. * Project management and organizational skills. * Proven ability to support and collaborate with cross-functional teams in a dynamic environment. ## **Preferred Qualifications:** * Research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience, or another quantitative field. * Scientific publications in AI and neuroscience conferences or peer-reviewed journals. * Familiarity with deep learning libraries such as PyTorch, Huggingface, Transformers, Accelerator, and Diffuser. * Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs. * Experience with data and model visualization tools. * Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, etc.). ## **Important information for candidates** Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: 1. **Apply only through our official channels.** We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ 2. **Verify the recruiter’s identity.** All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. 3. **Be cautious of unusual communication methods.** We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. 4. **Double-check email addresses.** All communication from us will come from emails ending in **@tether.to** or **@tether.io**. 5. **We will never request payment or financial details.** If someone asks for personal financial information or payment at any point during the hiring process, it is a scam.

machine-learninginternshipenglish+2 更多
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full time
onsite/hybrid in san-francisco united-states

## The Problem Traditional credit was built for people who already have money. Requirements for credit history, collateral, and costly underwriting create insurmountable barriers for those who need capital most. Over 1.4 billion people lack access to credit. A vendor in Lagos earns cash daily but can't prove a steady income. A Colombian nurse with years of perfect informal repayments remains invisible to banks. We built an alternative called **Credit**. Since December 2024, it has issued over one million undercollateralized loans using stablecoins. People from around the world have used these loans to pay for things like groceries, medicine, and transportation. Backed by $6.6 million from Paradigm and Nascent, we're scaling a system that has already reached more than 900,000 unique borrowers. Help us take it to the next level. ## About The Role We're looking for a talented **Data Scientist** to drive credit risk intelligence across Credit, our leading undercollateralized lending system. You'll own portfolio monitoring and reporting, research emerging risk trends, and transform borrower behavioral data into actionable guidance that shapes our credit strategy and roadmap. While our engineering & research teams own the underlying models, you'll be the person who makes sense of what they're telling us, tracking portfolio health, identifying issues early, and turning insights into clear recommendations for risk strategy and underwriting policy. Over time, this role may expand to drive broader product analytics across our suite of products. This role is based in **San Francisco, California**. We work in a hybrid model, with the team in office 3 days per week. ## Stack - Python - SQL - Grafana/Prometheus/Metabase - Blockchain data and indexing tools (Dune, Shovel) ## Key Responsibilities - Monitor credit risk models, including underwriting, loss forecasting, and fraud detection, and iterate based on observed portfolio performance - Design, build, and maintain scalable data pipelines, monitoring infrastructure, and dashboards to track portfolio health, user behavior, and key risk indicators - Partner with product, research, and engineering teams to define north star metrics and translate them into measurable, actionable credit and growth strategies - Design and analyze A/B tests, quasi-experiments, and causal inference studies to evaluate the impact of product and policy changes - Produce portfolio monitoring and investigative analyses, making recommendations based on findings - Translate complex quantitative findings into clear, compelling narratives for product, leadership, and cross-functional stakeholders ## Requirements - 4+ years of experience in decision science, credit risk analytics, or a closely related quantitative role within fintech or consumer lending - Deep proficiency in Python and SQL; comfortable owning analyses end-to-end from raw data to recommendation - Strong understanding of credit risk modeling concepts, including PD/LGD modeling, scorecard development, reject inference, vintage analysis, and risk segmentation - Demonstrated experience monitoring credit risk metrics and portfolio performance, including loss forecasting and underwriting model improvement - Proven ability to influence and collaborate with cross-functional teams and senior stakeholders, with a track record of translating analytical findings into accessible, actionable insights - Experience designing and evaluating experiments (A/B tests, holdout groups, or causal inference frameworks) in a consumer product context - Comfortable with ambiguity and biased toward action; thrives with minimal oversight and brings strong problem-solving skills and sharp attention to detail ## Nice to have - Experience building or maintaining large-scale data pipelines supporting B2C financial products - Familiarity with credit bureau data, cash flow underwriting, or alternative data sources in credit model development - Experience working in emerging markets, ideally on financial products serving everyday consumer needs (microfinance, BNPL, digital lending) - Strong understanding of DeFi protocol mechanics (lending, yield vaults, ERC4626) and experience with onchain data tooling (Dune, Shovel, Ponder, Goldsky or similar) - Exposure to regulatory frameworks relevant to consumer credit (FCRA, ECOA, or equivalent) *Divine Research is an equal opportunity employer.* When applying, mention the word **CANDYSHOP** to show you read the job post completely.

defiblockchainweb3+3 更多
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13 days ago

full time
remote worldwide

## Who We Are Stablecoins are beginning to reshape the global FX market, where more than $10 trillion trades every day. Hibachi is building the exchange designed for that shift. We are building a modern central limit order book for global currencies with transparent prices, direct access to liquidity, and infrastructure designed for continuous global markets. Our goal is to open FX trading beyond the traditional interbank system and create a venue where global money can move freely. We are a small team of engineers and traders who have built market infrastructure at Tower Research, Citadel, Coinbase, and Bloomberg. We care deeply about performance, correctness, and building systems that operate at global scale. Hibachi is backed by Dragonfly Capital, Electric Capital, Coinbase Ventures, and Circle Ventures. ## About The Technology Hibachi runs a high performance off-chain central limit order book built for fast, private trading and deep liquidity. Zero knowledge proofs allow anyone to verify the exchange’s solvency on-chain without revealing user positions. The result is transparent infrastructure built for global markets. ## The Role We are seeking a **Data Engineer** with broad expertise in **data modeling**, **advanced SQL**, **ETL/ELT** development, and **CDC (Change Data Capture)**. You will design and maintain **end-to-end** data solutions—covering **batch** and **streaming** ingestion, **data warehousing** with Iceberg, **AWS DMS** (or similar CDC tools). This role requires strong communication skills to ensure data initiatives align with and drive business objectives. ### You’ll Be Responsible for: - **Data Pipeline Development:** Architect, build, and maintain **batch** and **streaming** data pipelines using **PySpark**, **AWS Glue**, and **Airflow**. Implement **Change Data Capture (CDC)** with **AWS DMS** (or comparable tools) to capture incremental updates from source systems. - **Data Modeling & Architecture:** Design **modular**, **reusable**, and **scalable** data models adhering to best practices. Work with **Iceberg-backed Data Warehouse solution** for performant storage, queries, and transformations. Ensure consistent data definitions and governance using frameworks like the Glue Catalog. - **ETL/ELT:** Manage **ETL/ELT pipelines** ensuring efficient data ingestion, cleansing, and aggregation. Monitor and debug performance bottlenecks, applying tuning techniques where necessary. - **Data Visualization & Analytics:** Develop **QuickSight** dashboards (or similar BI tools) to surface actionable insights for stakeholders. ### You’ll Need to Have: - **Bachelor’s or Master’s Degree** in Computer Science, Engineering, or a related field (or equivalent experience). - **2+ years** of hands-on experience with **PySpark** for **batch** and **streaming** pipelines. Familiarity with streaming ecosystems (Kafka, Kinesis, Spark Structured Streaming). - Strong proficiency in **AWS Glue**, **Apache Airflow**, and **Iceberg**. - Experience with **AWS DMS** or other CDC tools to manage real-time or near-real-time data ingestion. - **Advanced SQL** knowledge, including performance tuning and complex transformations. - Proven background in **data modeling** and **data architecture** best practices (data warehouse/data lake). - Experience with **BI platforms** (QuickSight, Tableau, Power BI, etc.) for dashboard development. - Understanding of testing frameworks (e.g., Pytest) for data pipelines, unit testing, and QA processes. - Excellent communication skills, with an ability to bridge technical and business requirements. ### We’d Love to See: - Background in trading, HFT, or capital markets infrastructure. *When applying, mention the word CANDYSHOP to show you read the job post completely.*

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15 days ago

full time
onsite/hybrid in denmark

## Senior Software Engineer, Data Platform The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, and the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user-facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns, disrupting major ransomware operations, identifying the Twitter hackers, and more. We are building **the data platform** for blockchain, cryptocurrency, and web3. We’re looking to bring onboard experienced Senior Software Engineers who execute high-impact projects and are excited about building at a significant scale! ### In this role, you’ll: - Build cloud-native data ingest and aggregation processes that intake gigabytes of data per day. - Develop and optimize high-performance Spark jobs in Python to detect activities for market manipulation, fraud, behavioral patterning, and more. - Build and improve batch-based applications as well as real-time streaming pipelines processing billions of records per day. - Architect and maintain scalable data lakehouse environments using formats like Parquet, Iceberg, and Delta Lake. - Collaborate on building scalable API services on AWS that interface with our data layer to handle 1,000s of requests per second. - Help the team modernize our data stack to operate at 10x current capacity, moving toward highly automated, serverless architectures. - Debug production data quality issues and performance bottlenecks across distributed systems and microservices. ### We’re looking for candidates who have: - Experience in designing and implementing cloud-native, distributed data processing systems in a major cloud provider (AWS preferred). - Deep expertise in Python and Apache Spark, with a strong understanding of performance tuning and distributed computing principles. - A bias to ship and iterate alongside product management and design partners to turn raw data into actionable insights. - A technical background with extensive experience working directly on backend systems and large-scale data architecture. - Pride in materializing complex product ideas into stable, production-grade data pipelines. - Exposure to or interest in the cryptocurrency technology ecosystem and the unique data challenges it presents. - Mentored other engineers, leading cross-team data initiatives, and driving design and technology decisions is a plus. - Worked with Terraform and Kubernetes (EKS) for orchestrating data workloads is a plus. - A genuine excitement for significantly scaling large data systems and exploring the latest in "Modern Data Stack" technologies. ### Technologies we use (experience not required): - **Languages**: Python, Java - **Big Data**: Spark (PySpark), Flink, Databricks - **Storage**: Parquet, Iceberg, Delta Lake, Paimon - **Cloud/Infra**: AWS (Serverless, EMR, Lambda), Kubernetes, Terraform - **CI/CD**: GitHub including GitHub Actions - **Database**: PostgreSQL, Snowflake/Redshift ### About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. ### You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you. *When applying, mention the word CANDYSHOP to show you read the job post completely.*

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