Job Location: 100 Avenue of the Americas, New York, NY 10013
Note: Company “Hybrid” work attendance policy: In-office work attendance required at the aforementioned office address for collaboration days based on each team’s requirement; telecommuting/working from home is permissible for remainder of the same month.
Duties: Conduct comprehensive quantitative/statistical research and analysis and apply market intuition to enhance the monetization of alpha models. Utilize advanced quantitative techniques to research, develop and execute experiments that analyze and predict the impact of financial market trading activities on market dynamics and counterparties. Employ advanced machine learning methodologies to refine and improve execution strategies, ensuring optimal trade outcomes. Research, design and develop innovative quantitative financial models tailored for short trading horizons, focusing on precision and adaptability. Use expertise in computer science to develop high-reliability, production-quality computer code to support financial tools and enhance portfolio management processes through rigorous quantitative research/analysis and continuous optimization. Engage in advancing existing quantitative research initiatives and exploring new avenues for financial research, contributing to the company's competitive edge. Present findings and insights from quantitative research efforts, generating reports for internal stakeholders and driving informed decision-making.
Minimum education required: Master’s Degree in Mathematics, Applied Mathematics, Statistics, Computer Science, Electrical Engineering or a related quantitative field.
Skills required: Must have knowledge of the following quantitative skills and technologies: Python libraries including numpy, scikit-learn, and pandas for handling, analyzing, and performing statistical data analysis on large (300-500 GB) datasets; statistical significance and probability theory; mathematical tools, including linear algebra, multivariate calculus, and random processes; ability to write production-level software code in Python and C++, Java or Rust; ability to develop investment trading strategy including ability to research pipeline management and perform benchmark risk research; automation techniques that enhance efficiency and expedite daily operations; ability to research, design and implement machine learning models used for predictive analytics and model development; data distribution characteristics and the ability to identify similarities between different data distributions; approximation algorithms to accelerate computational processes, managing trade-offs in accuracy; version control software, including git; and Linux/Unix operating system and bash scripting. Must also pass company’s required skills assessment.
Base salary: The base pay for this role will be between $165,000 and $325,000 per year. This role may also be eligible for other forms of compensation and benefits, such as a discretionary bonus, health, dental and other wellness plans and 401(k) contributions. Discretionary bonus can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
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