PhD Graduate Quantitative Researcher
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What you'll do
- Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.
- Analyze large datasets to identify patterns and signals that can be translated into trading strategies.
- Collaborate with traders and technologists to bring models from research into live production.
- Monitor and refine existing models based on live market performance.
What they're looking for
- A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.
- Strong statistical and linear algebra knowledge.
- Proficiency in implementing models and algorithms in programming languages such as Python or C++.
- Strong analytical and problem-solving skills, with the ability to work independently on open-ended, ambiguous problems.
- Ownership and entrepreneurship.
Nice to have
- Experience in Deep Learning is a plus.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Flow Traders is looking for a PhD Graduate Quantitative Researcher to join the quantitative trading team at our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets.
A successful Quantitative Researcher is an expert in mathematics and statistics, passionate about translating challenging quantitative problems into equations and models, and skilled at optimizing them using cutting-edge computational techniques. If you're at the top of your quantitative, modeling, and coding game, and excited to test these skills in competitive live markets, this opportunity is for you.
What you will do
- Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.
- Analyze large datasets to identify patterns and signals that can be translated into trading strategies.
- Collaborate with traders and technologists to bring models from research into live production.
- Monitor and refine existing models based on live market performance.
What you need to succeed
- A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.
- Strong statistical and linear algebra knowledge.
- Proficiency in implementing models and algorithms in programming languages such as Python or C++.
- Experience in Deep Learning is a plus.
- Strong analytical and problem-solving skills, with the ability to work independently on open-ended, ambiguous problems.
- Ownership and entrepreneurship.
Flow Traders does not accept unsolicited resumes from any professional staffing or search firms. All resumes, and any other information identifying potential candidates, submitted to any employee at Flow Traders via-email, the Internet or directly without a valid and signed search agreement will be deemed free to contact by Flow Traders without any restrictions and no placement fee of any kind will be paid in the event the candidate is hired by Flow Traders.
Company
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