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: Apply quantitative/statistical, financial, and data analysis skills, including estimation methods, time series analysis, stochastic modeling, statistical inference, and probabilistic approaches, to research, formulate, design, and develop sophisticated predictive quantitative financial investment models and trading strategies for options. Use quantitative research to originate new trading ideas and quantitative models, leveraging knowledge of financial market empirical anomalies and the latest research findings in quantitative finance literature. Use quantitative research to generate market insights and design unbiased statistical tests to measure the impact of financial strategies. Research and develop proprietary risk models tailored for fundamental and quantitative equity option long-short strategies. Use quantitative research to formulate strategies aimed at generating non-correlated returns. Conduct quantitative research on execution quality, adverse selection analysis, and trading cost models of options trading algorithms across different trading tactics and strategies. Create mathematical models to outline stress scenarios and estimate the statistical characteristics of drawdowns.

Minimum requirements: PhD Degree in Mathematics, Statistics, Physics, Operations Research, or related quantitative field.

Alternative minimum requirements: Master’s Degree in Mathematics, Statistics, Physics, Operations Research or related quantitative field plus 3 years of experience in a Quantitative Analysis position(s).

Skills required: Knowledge of the following quantitative skills and technologies is also required: Probability, measure theory, linear algebra, statistical inference, stochastic calculus, time series analysis, numerical methods and optimization; option finance knowledge including option pricing/volatility modeling theory and price impact models; ability to simulate/implement trading algorithms with high frequency data; working with large datasets (>= gigabyte); C, C++, Java, KDB+/Q or Python; and ability to conduct research in a quantitative field of science as evidenced by publication (or presentation) of quantitative research in a peer-reviewed academic journal (or academic conference). 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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