New York, NY, USA
Posted on Thursday, February 8, 2024
Duties: Perform quantitative financial analysis/financial engineering duties in order to research and analyze complex problems in financial markets using computational methods, numerical algorithms, and statistical approaches. Use knowledge of finance/economics, probability, statistics, algorithms, and linear algebra to research and analyze company’s market impact. Generate ideas and conduct research and analysis to construct mathematical/statistical models for prediction and evaluation of transaction cost of the different asset classes in different regions that company invests in. Utilize quantitative research and analysis to develop scientific solutions in portfolio and investment management. Actively analyze portfolio performance, run simulations, and pursue a wide range of research to improve fund’s performance. Advance existing financial quantitative research initiatives and open opportunities for pursuing previously unexplored financial quantitative research topics. Share insights with fellow quantitative researchers from results of quantitative financial research efforts focused on quantitative finance, statistics, and machine learning. Stay abreast on the latest developments in quantitative finance, asset pricing, and machine learning by reading journal articles and attending academic talks. Supervise 1-3 Quantitative Researchers.
Minimum requirements: Master’s Degree in Mathematics, Statistics, Financial Engineering, Computer Science, Operations Research, Physics, or related quantitative field plus 3 years of experience in Quantitative Research and Analysis positions.
Alternative minimum requirements: Bachelor’s Degree in Mathematics, Statistics, Financial Engineering, Computer Science, Operations Research, Physics, or related quantitative field plus 5 years of experience in Quantitative Research and Analysis positions.
Skills required: Must have experience using the following quantitative financial research and analysis skills and financial engineering technologies: developing and modeling market impact quantitative models and execution-related costs; advanced market impact concepts, including intraday effects and cross-instrument market impact; statistical methods, including regression analysis, hypothesis testing, and Bayesian methods; data science techniques, including estimation methods, time series analysis and modeling, and quadratic optimization; machine learning theory and algorithms, including principal component analysis and non-parametric modeling; advanced optimization theory and algorithms, including convex optimization and online optimization; adapting both theory and algorithms into new applications; applying statistical methods and machine learning techniques to real-world datasets; and C, C++, Java, or Python. 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.