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Data Scientist - Finance

United States
Job Type
23 Sep 2022

Genie helps investors make smarter investment decisions and manage risk using cutting-edge AI. Genie is backed by leading investors, including Bain Capital Ventures, Goodwater Capital, Sierra Ventures, Coinbase Ventures, and Arca. Genie's team includes PhDs in Artificial Intelligence who have won international awards in their fields, finance experts from Wharton, and FinTech operators from Revolut with experience bringing to market successful FinTech products used by millions of people.


We are seeking a highly motivated and ambitious Data Scientist for Quantitative Trading to support Genie's crypto trading AI development. In this role, you will be in charge of your own workstreams, working on the testing and development of Genie's trading models, portfolio management, and risk management with a quantitative data analysis approach. You will be working collaboratively with Genie's tech team and report directly to our CTO.


  • Devise, develop, and test quantitative trading strategies
  • Implement hedging risk management strategies
  • Architect and implement futures and options trading
  • BSc / MSc in Quantitative Finance, Financial Engineering, Engineering, Mathematics, Physics, and related
  • 2 years hands-on experience in quantitative finance, trading, risk management
  • 2 years of experience in Data Analysis and Machine Learning
  • Ability to numerically analyze data, construct predictive models, and test trading strategies
  • Proficiency in algorithmic spot and derivatives trading
  • Exposure to and passion for cryptocurrencies
  • Proficiency in Python
Nice to Have
  • Experience with GitHub and collaborative development
  • Experience with Docker or equivalent
  1. Fit interview (30min)
  2. Home assignment
  3. Technical interview (1hr)
Python, Machine LearningPython
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  • Job Reference: 719155954-2
  • Date Posted: 23 September 2022
  • Recruiter: Genie
  • Location: United States
  • Salary: On Application
  • Sector: I.T. & Communications
  • Job Type: Permanent