Senior Data Scientist (Web3/Fintech)

Data Scientist

Company

Transak

Conditions

6 days agoSenior London, GB Onsite Full Time Data Science Jobs by Transak

Transak Transak helps developers integrate fiat-to-crypto payment solutions that allow users to buy and sell crypto directly within web3 applications. 52 Grosvenor Gardens, London, England, SW1W 0AU, United Kingdom Funding Strategic Strategic ($15M) Strategic ($16T) Investors GBIC (Global Blockchain Innovative Capital) BlockPact Zokyo Ventures Shima Capital Morningstar Ventures Projects Transak On/Off Ramp On/Off Ramp Transak Stream On/Off Ramp Transak One Payments Infrastructure & Orchestration Transak NFT Checkout Merchant Payment Gateway Transak Corporate On/Off Ramp On/Off Ramp Transak OTC OTC About Transak Transak helps developers onboard users from fiat to crypto through API-driven payment solutions that support transactions in multiple countries. With it, you can integrate fiat on-ramps, enable direct smart contract interactions with fiat, and access payment methods across multiple blockchains. Transak reduces the complexity of crypto onboarding for web3 applications. View jobs by Transak

Skills

Causal Inference Dashboarding Data Analysis Experimentation Fraud Detection Large Language Models Machine Learning Python Risk Modeling Snowflake Sql Statistics

About the Role

You'll take genuine end-to-end ownership of how Transak detects and prevents fraud, as part of a small, senior team. Your mandate is to stop fraud while approving as many legitimate transactions as possible — whether through deterministic heuristics, machine learning, AI agents, or whatever the problem demands. You'll work with tens of millions of transactions, ~1,000 live risk signals across 13 providers, and ~10,000 orders per hour at peak, against adversaries who adapt the moment you respond. Beyond fraud, you'll act as a data scientist for the wider business, making data accessible through the Snowflake warehouse, self-serve tooling, dashboards and internal data assistants. You'll also take on high-leverage product, growth and experimentation problems, and help advance how the company applies AI internally, from agentic coding assistants to internal copilots and novel uses of large language models. You'll have autonomy to try new models, tools and approaches, and you'll be judged on outcomes, not process or hours.

Requirements

• Strong mathematical and statistical foundations, and a genuine pull toward hard, quantitative problems
• A self-starter who identifies the important problem, scopes it, and acts without waiting to be directed
• Fluent in Python and SQL, able to take a model from idea to something that runs and ships
• Intellectually honest about uncertainty, and rigorous in evaluating your own work
• A genuine interest in crypto, payments, fraud and the data they generate

Responsibilities

• Own fraud, chargeback and transaction-risk models end to end, from framing the question to features, rules, shipping and thresholds
• Build and tune the machine-learning and signal layer that operates alongside external risk vendors
• Set the direction of where risk modelling goes next and bring the team along
• Act as a data scientist for the wider business, making data accessible through the Snowflake warehouse, self-serve tooling, dashboards and internal data assistants
• Take on high-leverage product, growth and experimentation problems as they arise
• Help advance how the company applies AI internally, from agentic coding assistants to internal copilots and novel uses of large language models

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