Quantitative Trader - Futures

Pagos Consultants

New York (NY)

Hybrid

USD 225,000 - 275,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Join an innovative trading firm as a Head of Quant, where you'll leverage advanced technology and sophisticated models to transform financial markets. This role invites you to work alongside top talent in a dynamic environment, focusing on fully systematic trading strategies. With the flexibility to work from global locations, you will engage in tackling complex challenges and driving the future of algorithmic trading. If you have a strong coding background and thrive in high-pressure situations, this opportunity is perfect for you.

Qualifications

Experience trading with fully systematic strategies in live markets.
Strong analytical skills and ability to work in fast-paced environments.

Responsibilities

Collaborate with a leading trading firm to drive algorithmic trading.
Utilize advanced technology and tackle complex challenges.

Skills

Systematic Trading Strategies

Coding Experience

Analytical Skills

Experience in Highly Liquid Markets

Fast-Paced Environment Adaptability

Job description

2 days ago Be among the first 25 applicants

Direct message the job poster from Pagos Consultants

Head of Quant at Pagos Consultants | Proprietary Fx Trader

Proprietary Trader | Global Locations | $250K Base + Bonus

We are collaborating with a leading quantitative trading firm that leverages advanced technology and sophisticated mathematical models to transform global financial markets.

They are looking for outstanding Quantitative Traders or Portfolio Managers with fully systematic trading strategies to join their team. Coding experience is mandatory.

This role offers flexibility to work from any of their global offices, including London, New York, Chicago, Paris, Dubai, Amsterdam, Hong Kong, and more.

As part of their elite team, you’ll work alongside some of the brightest minds from diverse disciplines, utilizing cutting-edge infrastructure and tackling complex challenges to drive the future of algorithmic trading.

Key Requirements: