Description:

Old Mission Capital, a global quantitative proprietary trading firm, is hiring a Quantitative Trader to work in our New York City office. The Quantitative Trader will be responsible for developing and implementing systematic strategies around Index Rebalancing events.

Position Overview:

We are seeking a highly skilled Quantitative Trader to join our Stat-Arb Desk, where you will be responsible for developing and executing trading strategies centered around scheduled and ad-hoc index rebalancing events. The ideal candidate will have a strong background in quantitative finance, statistical analysis, and programming, with a keen interest in leveraging data-driven insights to drive trading decisions.

Responsibilities:

Predictive Modeling: Utilize quantitative techniques and statistical analysis to develop predictive models for index rebalancing events. This includes analyzing historical data, identifying patterns, and building algorithms to forecast changes in index components.
Strategy Development: Design and implement trading strategies tailored to exploit opportunities arising from scheduled and ad-hoc rebalancing events. Develop systematic approaches to capture alpha and manage risk effectively.
Market Research: Stay abreast of market changes impacting index constituents and rebalancing methodologies. Conduct in-depth research to understand the dynamics of various indices and their underlying components.
Algorithmic Trading: Implement algorithmic trading systems to execute trading strategies in an efficient and automated manner. Optimize execution algorithms to minimize market impact and slippage.
Risk Management: Monitor and manage risk exposure associated with trading activities. Implement risk controls and mitigation strategies to safeguard the firm's capital and optimize portfolio performance.
Collaboration: Work closely with other members of the trading desk to refine trading strategies, enhance analytical tools, and improve overall trading performance.

Qualifications:

Bachelor’s degree or foreign equivalent degree in a quantitative discipline such as Mathematics, Statistics, Physics, Economics, Computer Science, or Engineering. Advanced Degrees preferred.
Experience working on Index rebalance strategies – focusing on scheduled and corporate action-driven trades. Strong preference for candidates with relevant experience with a Program Trading Desk, Proprietary Trading firm or Hedge fund set up.
Proficiency in programming languages such as Python, R, or C++ for data analysis, model development, and algorithmic trading.
Strong understanding of financial markets, index methodologies, and trading dynamics.
Excellent analytical skills with a meticulous attention to detail.
Ability to thrive in a fast-paced, dynamic trading environment and make informed decisions under pressure.
Effective communication skills and the ability to collaborate effectively.

Benefits:

Competitive salary with discretionary bonus
Fully paid for Medical, Dental, Vision, Disability and Life Insurance
Fully stocked kitchen; free breakfast and lunch every day
Tuition reimbursement program
Friendly, informal team environment

NY Transparency Law:

**Annual Base Salary Range for qualified candidates would be between $150,000

225,000.**

The successful candidate must have valid work authorization to work for any employer in the US without sponsorship.

Quantitative Trader - Index Rebalance