Futures Systematic Portfolio Manager - High-Impact Algo Trader

MA CAPITAL U.S. LLC

New York (NY)

Hybrid

USD 250,000 - 380,000

Full time

7 days ago
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Benefits offered by this job

Health insurance
401(k) plan
Hybrid work model
Office in NY and Chicago

Job summary

MA Capital US LLC seeks a Futures Portfolio Manager to develop fully systematic trading strategies for CME and EUREX futures, including HFT/MFT traders. Fluency in Python or C++ and a strong quantitative background are essential.

You will oversee intraday to multi-day positions with risk controls, optimize performance, and collaborate in an agile, tech-driven trading environment in a startup-like setting.

Qualifications

  • 3+ years in D1 products focusing on CME, ICE and EUREX futures trading from a quant firm, hedge fund, family office, or bank.
  • Proven track record of profitable trading strategies with strong risk-adjusted returns.
  • Proficient in Python or C++ for building trading strategies and integration.
  • Strong understanding of risk controls, market microstructure, and compliance.
  • Experience generating alpha from exchange and derived data.
  • Hands-on, startup-style mindset with ability to innovate in a fast-paced environment.
  • Hybrid work flexibility with offices in Chicago or New York.

Responsibilities

  • Strategy Development: Design and implement fully systematic trading strategies for CME and EUREX futures.
  • Portfolio & Risk Management: Manage intraday and short-term positions with controlled risk exposure.
  • Technology & Research: Build and optimize strategies using Python or C++ and integrate with infrastructure.
  • Performance Optimization: Analyze performance and adjust strategies based on market conditions.

Skills

Quantitative background
Risk management
Alpha generation
Startup environment
Hybrid work
Market knowledge

Tools

Python
C++

Job description

MA Capital US LLC seeks a Futures Portfolio Manager to develop fully systematic trading strategies for CME and EUREX futures, including HFT/MFT traders. Fluency in Python or C++ and a strong quantitative background are essential.

You will oversee intraday to multi-day positions with risk controls, optimize performance, and collaborate in an agile, tech-driven trading environment in a startup-like setting.

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