Job Description
About the position Responsibilities • Develop and implement Python-based solutions for quantitative analysis and data manipulation. • Perform complex quantitative calculations and ensure high-performance, accurate results. • Work with MySQL/SQL databases to extract, manipulate, and analyze large datasets. • Collaborate with other teams to design and optimize algorithms for financial modeling. • Apply statistical methods and models to real-world financial data to drive key business insights. • Optimize and refine algorithms for time-series data analysis, statistical modeling, and financial computations.
Requirements • Bachelor's degree in a STEM field with significant focus on programming (Graduate degree preferred). • At least 3 years of programming experience in Python. • Strong knowledge of statistics and data manipulation for quantitative analysis. • Hands-on experience with MySQL/SQL databases for querying and managing large data sets. Nice-to-haves • Familiarity with financial instruments (stocks, bonds, derivatives, etc.) and financial data analysis. • In-depth knowledge of options and option pricing formulas (e.g., Black-Scholes).
• Experience with optimization algorithms (e.g., linear programming, genetic algorithms). • Familiarity with analyzing and processing time-series data. Benefits • Strong retirement plan. • Tuition reimbursement. • Comprehensive healthcare. • Support for working parents. • Flexible Time Off (FTO). Apply tot his job Apply tot his job