Senior Data Scientist (Lending) at MLabs

, , Netherlands -

Full Time

Start Date

Immediate

Expiry Date

16 Mar, 26

Salary

150000.0

Posted On

16 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Quantitative Finance, Machine Learning, Python, Risk Management, Data Visualization, Financial Markets, Trading, Blockchain Technology, DeFi, Algorithms, Simulation, Problem-Solving, Collaboration, Research, Communication

Industry

IT Services and IT Consulting

Description

Senior Data Scientist – DeFi Economic Risk & Security Location: Remote - Preference is in Europe to overlap 5hours with EST timezone Compensation: $130K - $150K Join a pioneering company that provides the first automated, on-chain economic security system for crypto protocols. Our platform is trusted by leading DeFi protocols, collectively securing and managing billions of dollars in assets, by utilizing world-class custom EVM simulations to optimize risk management and capital efficiency. This is a high-impact role at the intersection of quantitative finance, data science, and decentralized technology. As a Senior Data Scientist, reporting directly to the Head of Economic Risk & Strategy, you will be a critical driver of our modeling capabilities and data insights across the decentralized finance ecosystem. You will lead innovative research to understand market actor behavior and model these dynamics within our advanced simulation platform. Your Mission & Responsibilities: Market Analysis & Modeling: Lead and drive research to deeply understand the behavior and interactions of various actors within the crypto market, and translate these insights into sophisticated models for our simulation platform. Protocol Deep Dives: Collaborate with leading crypto engineers and product managers to analyze market-leading protocols, generating game-changing insights and predictions. Data Insight Generation: Explore new algorithms and techniques to surface critical insights regarding DeFi security and optimization opportunities. Data Visualization: Build data models and intuitive visualizations from public blockchain data and simulation results for key customers and internal stakeholders (e.g., protocols like AAVE, Uniswap, and dYdX). Research & Communication: Present your insights and strategic suggestions both internally and externally, with opportunities to publish industry-defining research. Continuous Improvement: Collaborate with cross-functional teams to ensure high-quality outputs and contribute to the continuous improvement and innovation of our core platform. We are seeking a results-driven professional with a strong quantitative trading background and a passion for tackling hard problems in the DeFi space. 4+ years of professional experience in Data Science – a must. Strong trading background required, including proven experience building models and a deep understanding of derivatives, pricing, financial markets, and systems. Previous experience in the FinTech industry. Solid understanding of machine learning techniques and algorithms. Hands-on expertise with Python and relevant data science packages (e.g., Pandas, NumPy, scikit-learn). Strong problem-solving abilities and a genuine passion for DeFi and blockchain technology. You thrive in small, dynamic, fast-paced teams that encourage continuous learning and growth. Preferred Qualifications (Bonus Points): Prior Web3 experience, including using data tools like Dune or writing smart contracts. Deep knowledge of the DeFi landscape and broader crypto/blockchain ecosystem. Demonstrated ability to work effectively in a fast-paced, collaborative environment. Location: Based in the United States (remote or Brooklyn, NYC office) or Europe. We offer a competitive compensation and comprehensive benefits package designed to support a healthy work-life balance and long-term career growth. Salary: Commensurate with experience and seniority level, with a target range of $130,000 - $150,000 USD (full-time). Health & Wellness: 100% employer-paid health benefit options (Medical, Dental & Vision insurance) for you and your dependents. FSA or HSA options. Retirement: Generous 401k plan with employer match. Time Off: Competitive Paid Time Off (21 days) + Sick Days (7) + 8 observed US-company holidays. Additional Perks: Thoughtful Parental Leave Policy, Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP), Pre-tax Commuter Benefits. Work Environment: Flexible hybrid work environment and personalized professional development/career growth opportunities. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Responsibilities

Lead research to understand market actor behavior and develop sophisticated models for the simulation platform. Collaborate with crypto engineers and product managers to analyze protocols and generate insights.