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Senior Data Scientist - DeFi

ZipRecruiter

New York (NY)

Hybrid

USD 130,000 - 150,000

Full time

Yesterday
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Job summary

A leading company in the crypto space is seeking a Senior Data Scientist for a hybrid role in NYC. This position involves building innovative models to secure DeFi protocols and requires expertise in financial modeling and data science. Candidates will collaborate with top engineers and have opportunities for impactful research and career growth.

Benefits

Flexible hybrid work environment.
Competitive PTO (21 days) + sick days (7).
100% employer-paid health benefits.
Generous 401k plan with employer match.
Thoughtful Parental Leave Policy.
Corporate wellness programs.
Career growth opportunities.
Pre-tax Commuter Benefits.

Qualifications

  • 4+ years of professional experience in Data Science.
  • Previous experience in FinTech or DeFi domains.

Responsibilities

  • Work with crypto engineers and product managers to drive insights.
  • Lead research to model crypto market behaviors.
  • Build data models and visualizations of blockchain data.

Skills

Data Science
Financial Modeling
Machine Learning
Python
Crypto

Job description

Job Description

Career Renew is recruiting for one of its clients a Senior Data Scientist - DeFi - this is a hybrid role in NYC.

We are the first automated, on-chain economic security system enabling crypto protocols to optimize risk management and capital efficiency while protecting user funds. We use world-class custom EVM and on-chain simulations to understand protocol mechanics and scenario implications.

Our platform and tools are used by leading protocols, helping them manage and secure billions of dollars in assets such as Aave, Benqi, Osmosis, Uniswap, and more.

We’re scaling the data science team in our New York office to help build trailblazing models and products to better secure DeFi protocols. This team will be influential in building financial simulation models to monitor and optimize risk across DeFi.

We are looking for candidates with domain expertise in financial modeling and a deep interest in crypto.

Responsibilities
  • Work alongside leading crypto engineers and product managers to deep dive into market-leading protocols and help drive game-changing insights and predictions (see example)
  • Lead and drive innovative research to understand how different actors in the crypto market behave and interact, and drive modeling of such actors into Chaos Labs’ simulation platform
  • Present your insights and suggestions to audiences both internally and externally with the opportunity to publish industry-defining research
  • Explore new algorithms and techniques to surface insights in DeFi security and optimizations
  • Build data models and visualizations of public blockchain data and simulation results that provide intuitive analytics to customers such as AAVE, Uniswap, dydx, Chainlink, and others
Requirements
  • 4+ years of professional experience in Data Science - a must
  • Previous experience in FinTech or DeFi domains - a must
  • Experience in derivative trading plus a broad understanding of crypto and blockchain ecosystem - is a plus
  • Demonstrable understanding of machine learning techniques and algorithms combined with Hands-on experience with Python and relevant data science packages
  • Must be willing to attend office 3 days per week in NYC
Benefits
  • Flexible hybrid work environment.
  • Competitive PTO (21 days) + sick days (7) + 8 observed US-company holidays.
  • 100% employer-paid health benefit options (Medical, dental & vision insurance) for you and your dependents.
  • FSA or HSA (pending on selected health insurance).
  • Generous 401k plan with employer match.
  • Thoughtful Parental Leave Policy.
  • Corporate wellness programs with OneMedical, Teladoc, Talkspace, EAP.
  • Career growth opportunities at a rapidly expanding, global technology company in an emerging field with personalized professional development.
  • Pre-tax Commuter Benefits.
  • Salary and seniority level commensurate with experience (range: $130-150K USD)
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