Data-Driven Trading Solutions Architect

1 week ago


New York, New York, United States Farrer Capital Management Full time
About Farrer Capital Management

We're a fast-growing, global commodities hedge fund dedicated to serving institutional clients with exceptional returns. Our investment research process leverages domain expertise, supply and demand analysis, and innovative AI approaches.

In this role, you'll collaborate closely with the Quantitative Team to convert research ideas into production-ready trading strategies. You'll be responsible for developing research infrastructure and enhancing our trading platform to support high-performance trading.

This is an exciting opportunity to work with a talented team, driving innovation and growth in quantitative finance.

Requirements
  • A Master's degree in Financial Engineering or a related field.
  • At least 2 years of experience with Python.
  • Strong software engineering fundamentals, focusing on writing clean, well-tested code.
  • Excellent analytical abilities, with a solid foundation in probability and statistics.
  • Experience with mission-critical production code and meticulous attention to detail.
  • Familiarity with FX, Futures, or Options trading is a plus, but not required.
  • Knowledge of systematic trading strategies or trading platforms (systematic, HFT, or execution) is advantageous but not required.
  • Experience in areas like Distributed Computing, Natural Language Processing, Machine Learning, Quantitative Finance, Data Mining, High-Performance Computing, or Time Series Analysis is beneficial.

$120,000 - $150,000 per year, depending on location and experience.



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