Quantitative Researcher

Responsibilities: Use quantitative research techniques to research, design, test, and deploy systematic trading strategies around scheduled and unscheduled index rebalancing events; Stay abreast of rebalancing methodologies and build processes to track factors affecting index constituent eligibility; Build predictive models to forecast changes in index components across different indices and identify alpha generating opportunities around prospective additions or removals; Collaborate with other researchers to exchange ideas, test new models, and manage existing models;

Requirements: A Bachelor’s, Master’s, or Ph. D. degree in a quantitative field such as computer science, mathematics, statistics, physics, finance, or similar STEM disciplines;5+ years in a quantitative research role focusing on index rebalancing strategies; Proficiency in advanced research techniques, statistical analysis, time series analysis, and machine learning algorithms; Strong programming abilities in Python, C++, Java, or other; Proficiency in data analysis, data manipulation, and working with large datasets. Experience with SQL, Pandas, Num Py, or other data analysis libraries; Strong analytical skills with the ability to formulate and solve complex problems, think critically, and make data-driven decisions; Excellent verbal and written communication skills and ability to effectively convey complex ideas; Demonstrated ability to work collaboratively in a team-oriented environment; Ability to manage multiple tasks and priorities in a fast-paced, dynamic environment; Flexibility to adapt to changing market conditions and research requirements; In accordance with New York City’s Pay Transparency Law, the base salary range for this role is $150,000 to $250,000. Base salary does not include other forms of compensation or benefits such as a discretionary bonus, health, dental, and other wellness plans and 401(k) contributions. Discretionary bonuses 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.