DescriptionSenior 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.
Requirements- Experience: 4 years of professional experience in Data Sciencea 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.
Benefits- Compensation: Competitive salary ($130K - $150K) and seniority level commensurate with experience (Target range: $130000$150000 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 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
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 Ltds 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
Required Experience:
Senior IC
DescriptionSenior Data Scientist - Economic Risk & DeFi Simulation Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hoursCompensation: $130K - $150KWe are the first automated on-chain economic security system trusted by leading protocols managing billions of dollar...
DescriptionSenior 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.
Requirements- Experience: 4 years of professional experience in Data Sciencea 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.
Benefits- Compensation: Competitive salary ($130K - $150K) and seniority level commensurate with experience (Target range: $130000$150000 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 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
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 Ltds 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
Required Experience:
Senior IC
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