Job description

Flow Traders is looking for a PhD Graduate Quantitative Researcher to join the quantitative trading team in our New York 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. At Flow Traders, we acknowledge the importance of open and transparent communication whether it be with our employees, our stakeholders, or our local and global communities. When it comes to salary, Flow Traders uses reliable market research to create base ranges. Where candidates will fall within the range depends on a few different factors including but not limited to level of experience, location, and specific skill set. We also consider ourselves one global team, and to demonstrate that, all employees are eligible to share in the company’s success through an annual discretionary variable remuneration allocated based on company, group and individual performance and contribution. Per NYC salary transparency law, the total compensation for this role includes a base salary of $175,000 plus annual discretionary variable remuneration. 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.

Requirements

Must-haves

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++.
Strong analytical and problem-solving skills, with the ability to work independently on open-ended, ambiguous problems.
Ownership and entrepreneurship.

Nice-to-haves

Experience in Deep Learning is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningpython

Platform: greenhouse
Effort: quick