Location: New York (Midtown) office.
Role:Quantitative strategist.
Team: Quantitative Strategies Trading
Key Responsibilities: Designing, developing and managing profitable systematic trading strategies in US Cash and Futures FI, FX, Equity and Commodities markets. The candidate is expected to perform her/his own trading strategy design and research. As such, the role requires high level development in C++ and Python. We expect the candidate to collaborate with the team’s technology and trading experts for production implementation.
The team is particularly interested in candidates with expertise in the following:

• Fundamental data / economic event driven strategies
• Commodities systematic strategies (Energy, Metals, Agricultural)
• Cash FX systematic strategies
• Liquidity taking strategies

This is an opportunity to work as a member of a small group of talented individuals that develop cutting edge algorithmic trading strategies (intraday and overnight) on a wide range of asset classes (Fixed Income, FX, Equities, Commodities). The strategist will have the opportunity to deploy its trading strategy with limited infrastructure build time by leveraging an existing successful technology and research platform.

• Education: B.S., M.S. or PhD in engineering, mathematics, physics, statistics, computer science
• Seniority: minimum of 3 years of experience working on a prop trading, quantitative trading or electronic trading desk (investment bank, hedge fund, etc.).
• Skills:
  • Significant experience with alpha generation and portfolio management.
  • Ability to deploy and manage a trading strategy from inception.
  • Strong programming skills (C++ and Python preferred)
  • Working knowledge of Linux and code repository management preferred.
  • Self-motivated, hard-working and creative personality
  • Clear and confident communication skills.

Solid compensation package is offered to the right candidate.