Junior Quantitative Researcher Flow Traders · New York, United States

Tradermath; New York (NY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Flow Traders is seeking a Junior Quantitative Researcher for its New York office to design and deploy advanced models for systematic trading. You will analyze large datasets to identify actionable signals and work with traders and technologists to move research into live production.

The role emphasizes strong mathematical foundations, PhD-level training, and proficiency in Python or C++. Deep Learning experience is a plus, with opportunities to influence live markets and innovate continually.

Qualifications

• PhD in Mathematics, Physics, Computer Science or related quantitative field.
• Strong statistical and linear algebra knowledge.
• Proficiency in implementing models and algorithms in Python or C++.
• Experience in Deep Learning is a plus.
• Strong analytical and problem-solving skills, with ability to work independently on open-ended problems.
• Ownership and entrepreneurship.

Responsibilities

• 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.

Skills

Strong statistical knowledge

Linear algebra

Python

C++

Deep Learning (advantage)

Education

PhD in Mathematics, Physics, or Computer Science

Tools

Python

C++

Job description

Flow Traders is looking for a Junior 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.