Quantitative Trader - Equities & Systematic Strategies

Fintal Partners; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Fintal Partners is seeking a quantitative researcher to join a global trading firm focused on equities and derivatives. You will analyze large datasets to identify predictive signals and develop systematic trading strategies within a low-latency environment.

You will collaborate with engineering to move ideas from research to production, prototyping in Python and owning the lifecycle from concept to deployment.

Qualifications

• 3+ years of experience in a quantitative research role within systematic trading.
• Strong background in equity signal generation and predictive modeling.
• Experience with high-frequency or intraday strategies is highly relevant.

Responsibilities

• Analyze large, complex datasets to identify predictive signals in equity markets.
• Develop and refine systematic trading strategies across equities.
• Work closely with engineering to design and improve research and production frameworks.
• Rapidly prototype and test new ideas (primarily in Python).
• Take ownership of the full lifecycle from research to live deployment.
• Continuously enhance and expand existing models to unlock new sources of alpha.

Skills

Python programming

Equity signal generation

Quantitative modeling

High-frequency trading experience

Education

Quantitative field degree

Tools

Python

Job description

Fintal Partners is seeking a quantitative researcher to join a global trading firm focused on equities and derivatives. You will analyze large datasets to identify predictive signals and develop systematic trading strategies within a low-latency environment.

You will collaborate with engineering to move ideas from research to production, prototyping in Python and owning the lifecycle from concept to deployment.