Quantitative Researcher, Algorithmic Trading & Alpha Models

Global Trading Systems; Village of Pelham (NY); Híbrido; USD 150.000 - 225.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, Dental, Vision

401k match

Daily Meal Allowance

Equinox Corporate Membership Rate

Snacks

Office Game Room

Casual Dress

Hybrid work: 4 days in office

Descripción de la vacante

Global Trading Systems seeks a Quant Researcher to join the algorithmic trading team in New York. You will evaluate, optimize, and produce analytics to improve execution strategies, collaborating with traders and developers to scale production systems.

The role requires strong math/statistics, Python proficiency, and the ability to automate complex tasks in a fast-paced environment. Hybrid work is available with in-office collaboration.

Formación

• 1–2 years experience with algorithmic trading systems is preferred.
• Strong mathematics and statistics foundation.
• Excellent programming skills in Python.
• Proven ability to automate and scale processes.

Responsabilidades

• Predict intraday quant params from historical data.
• Predict intraday volume patterns and velocity.
• Identify sparse data symbols and create models to handle.
• Design communication model between predictions and trading system.
• Analyze algorithmic outcomes to propose improvements to scheduling and order placement.
• Research alpha models used for pricing, venue selection, and internalization decisions.

Conocimientos

Python

Data analytics

Quantitative techniques

Communication

Teamwork

Attention to detail

Educación

B.S./M.S. in STEM

Descripción del empleo

Global Trading Systems seeks a Quant Researcher to join the algorithmic trading team in New York. You will evaluate, optimize, and produce analytics to improve execution strategies, collaborating with traders and developers to scale production systems.

The role requires strong math/statistics, Python proficiency, and the ability to automate complex tasks in a fast-paced environment. Hybrid work is available with in-office collaboration.