Senior Data Scientist

Mlabs
New York, NY

Senior Data Scientist - Economic Risk & DeFi Simulation

Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours

Compensation: $130K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations . We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance.

Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers.

Responsibilities:

  • Risk Modeling & Simulation: Lead innovative research to understand how different actors in the crypto market behave and interact, driving the modeling of such actors into our simulation platform.
  • Algorithm & Insight Generation: Explore new algorithms and techniques to surface insights in DeFi security and optimization, working alongside leading crypto engineers.
  • Data Visualization: Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to protocols like AAVE and dYdX.
  • Research & Presentation: Deep dive into market-leading protocols to drive game-changing insights and predictions. Present your findings both internally and externally, with the opportunity to publish industry-defining research.
  • Collaboration: Collaborate with cross-functional teams (product, engineering) to ensure high-quality outputs and contribute to the continuous improvement of our platform.
  • Experience: 4+ years of professional experience in Data Science —a must.
  • Trading Background: Strong trading background required , including experience building models and a deep understanding of derivatives, pricing, financial markets, and systems .
  • FinTech Experience: Previous experience in the FinTech industry.
  • Technical Skills: Hands-on experience with Python and relevant data science packages, with a solid understanding of machine learning techniques and algorithms.
  • Mindset: Strong problem-solving abilities, a passion for DeFi and blockchain technology , and a love for working in small, dynamic, fast-paced teams.

Preferred Qualifications (Bonus Points):

  • Prior Web3 experience using Dune or writing smart contracts.
  • Broader understanding of the crypto and blockchain ecosystem.
  • Based in the United States (with ability to work remotely or from our Brooklyn office in NYC) or Europe .
  • Compensation: Competitive salary ($130K - $150K) and seniority level commensurate with experience (Target range: $130,000–$150,000 USD ).
  • Work Flexibility: Flexible hybrid work environment and personalized professional development.
  • Health & Wellness: 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents.
  • FSA or HSA options.
  • Corporate wellness programs (OneMedical, Teladoc, Talkspace, EAP).
  • Retirement & Leave: Generous 401k plan with employer match and a thoughtful Parental Leave Policy.
  • Time Off: Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays.
  • Growth: Career growth opportunities at a rapidly expanding, global technology company in an emerging field.

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 [email protected].

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 [email protected].

Posted 2025-11-07

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