Quantitative Solutions Engineer

2 weeks ago


New York, New York, United States Farrer Capital Management Full time
Job OverviewCompany Background

Farrer Capital Management is a dynamic and rapidly growing global hedge fund specializing in commodities, committed to delivering outstanding results for institutional clients.

Our mission is to achieve remarkable returns through a sophisticated investment research process that harnesses our extensive knowledge of global commodity markets, supply and demand dynamics, and innovative AI methodologies.

At Farrer Capital Management, we cultivate a collaborative and educational environment among top-tier investment professionals, researchers, and engineers. As a fully remote organization, our expanding team operates across various regions, including North and South America, Australia, and Europe.

We empower our employees to explore their ideas and develop impactful commercial solutions that drive their professional growth.

Ideal Candidate Profile

We are in search of an outstanding Quantitative Solutions Engineer who is enthusiastic about creating advanced solutions to bolster our growing quantitative business at Farrer Capital Management.

In this position, you will work closely with the Quantitative Team (Portfolio Managers, researchers, and engineers) to transform research concepts into production-ready trading strategies.

Your responsibilities will include developing research infrastructure (encompassing market data, backtesting, and computational resources) and enhancing our trading platform (which includes position management, risk controls, strategy frameworks, deployment, visualization, and observability).

Core Responsibilities
  • Design and implement solutions that translate research concepts into robust trading strategies.
  • Develop and refine research infrastructure and trading platforms to facilitate high-performance trading.
  • Produce clean, well-structured, and thoroughly tested code that adheres to high engineering standards.
  • Guarantee code reliability and performance in a critical trading environment.
QualificationsAbout You
  • Master's degree in Financial Engineering or a related discipline.
  • Minimum of 2 years of experience in Python programming.
  • Strong foundation in software engineering principles with an emphasis on writing clean, well-tested code.
  • Excellent analytical skills with a solid grounding in probability and statistics.
  • Experience with mission-critical production code and a keen attention to detail.
  • Familiarity with FX, Futures, or Options trading is advantageous but not mandatory.
  • Experience with systematic trading strategies or trading platforms (systematic, high-frequency trading, or execution) is beneficial but not required.
  • A desire to work in an environment that values excellence.
  • Remote work opportunities are available.
Employee Benefits
  • Our commitment to high-performance outcomes is reflected in competitive salary and performance-based compensation structures.
  • As a fully remote and fast-growing organization, we offer flexibility in work location, emphasizing the importance of effective written communication.
  • You will collaborate with exceptional colleagues who embody a culture of authenticity, humility, and excellence, encouraging you to make a meaningful impact on our collective culture.

We believe that diversity is essential to our success and are committed to fostering an inclusive environment for all employees.



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