Quantitative Trader @ Old Mission

Old Mission is a global proprietary trading firm that leverages state-of-the-art technology and research to identify and execute profitable trading strategies across multiple asset classes around the world. Our offices in Chicago, New York, and London are all composed of naturally-curious individuals who thrive in a team environment and constantly strive for improvement.

Old Mission does not seek capital from outside investors, allowing us the flexibility to aggressively invest in our team members and keep them engaged in the firm’s growth.

About the position

We are seeking a highly skilled Quantitative Trader to join our team in New York City, 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.

Required Skills

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 and Perks

Competitive salary with discretionary annual bonus
Fully paid Medical, Dental, Vision, Disability, and Life Insurance
Fully stocked kitchen; free breakfast and lunch every day on-site
Tuition Reimbursement Program
401(k) with employer match
Flexible Spending Plan
Commuter Benefit Program

In accordance with New York City’s Pay Transparency Law, the anticipated base salary range for this role is $150,000 to $225,000. Base salary does not include other forms of compensation or benefits offered to employees.

Old Mission is not accepting unsolicited resumes from any staffing/search firms. All resumes submitted by staffing/search firms to any employee at Old Mission via-email, the Internet or directly without a valid signed search agreement will be deemed the sole property of Old Mission, and no fee will be paid in the event the candidate is hired by Old Mission.

Quantitative Trader

Index Rebalance

Old Mission

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