Quantitative Trader - Statistical Arbitrage

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 dynamic Quantitative Trader to join our Statistical Arbitrage Desk in our New York City office, where you will play a critical role in developing and implementing systematic trading strategies across equities and futures markets globally. The ideal candidate will have a proven track record in signal research, combination, and portfolio optimization, with experience delivering strategies achieving a minimum 3+ Sharpe Ratio. Responsibilities Signal Research: Conduct comprehensive research to identify alpha-generating signals in equities and futures. Explore traditional and alternative data sources to uncover unique insights into market dynamics and trading opportunities. Signal Combination: Develop innovative methodologies to combine multiple signals into robust trading strategies. Utilize statistical methods, machine learning algorithms, and ensemble techniques to enhance signal quality and predictive power. Portfolio Optimization: Design and implement advanced portfolio optimization techniques to construct diversified portfolios that maximize risk-adjusted returns. Utilize mathematical optimization frameworks, risk models, and allocation methodologies to allocate capital efficiently across strategies and assets. Systematic Strategy Development: Collaborate with quantitative researchers, developers, and traders to translate research ideas into systematic trading strategies. Design and implement trading algorithms to execute strategies in an automated and scalable manner, leveraging firm's low-latency infrastructure. Risk Management: Monitor and manage risk exposure across portfolios, employing robust risk management frameworks and position sizing techniques. Conduct stress testing, scenario analysis, and performance attribution to quantify and mitigate various sources of risk. Required Skills Advanced degree in a quantitative discipline such as Mathematics, Statistics, Economics, Physics, Computer Science, or Engineering; PhD preferred Proven experience in quantitative trading, statistical arbitrage, or systematic trading, with a focus on equities and futures markets Strong proficiency in programming languages such as Python, R, or C++ for data analysis, model development, and algorithmic trading Extensive experience in signal research, signal combination, and portfolio optimization techniques Exposure to alternative data sources and machine learning techniques for signal generation and trading strategy development Deep understanding of financial markets, market microstructure, and trading dynamics Excellent analytical skills with a rigorous and systematic approach to problem-solving Ability to thrive in a collaborative, team-oriented environment and effectively communicate complex ideas 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. #J-18808-Ljbffr Quant Blueprint LLC