BlackRock-posted 4 days ago
Full-time • Senior
Hybrid • Chicago, IL
Securities, Commodity Contracts, and Other Financial Investments and Related Activities
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SpiderRock Advisors - Derivatives Product Engineer (Python) - Vice President We are a dynamic, data-driven team at the intersection of finance and technology. We are seeking a highly skilled Quantitative Python Developer to join our team, where you will be responsible for building and optimizing solutions for data manipulation, quantitative calculations, and financial analysis. If you have a passion for programming, a solid foundation in statistics, and a keen interest in financial markets, we want to hear from you! This role is a part of a dynamic and rapidly evolving team responsible for portfolio design, risk management, portfolio management, quantitative analysis and research, aiding our clients and teams in improving and scaling their portfolio management via automating derivatives solutions as a fiduciary.

  • Develop, operate and continuously improve trading and portfolio management infrastructure and proprietary software
  • Design and Document workflows, processes, and data products
  • Conduct quantitative research to improve management and performance of client portfolios using methods such as: Monte Carlo, Time Series Analysis and Back testing
  • Present findings and methodologies to SRA's Investment Committee and other stakeholders
  • Author, understand and repurpose software written in Python
  • Work with MySQL/SQL databases to analyze datasets, and design data objects
  • Collaborate with other teams to design and optimize algorithms for financial modeling
  • In depth knowledge of Options including: the greeks, volatility surfaces, pricing, exchange data, and capital markets
  • Experience as an Options Trader, Options Market Maker, or Options Risk manager would be valued
  • Familiarity with other financial instruments (stocks, bonds, derivatives, structured products etc.) and financial data analysis
  • At least 3 years of programming experience in Python
  • Strong knowledge of statistics, Time Series analysis, Monte Carlo, optimization algorithms and data manipulation for quantitative analysis
  • Bachelor's degree in a STEM field with significant focus on programming required, graduate degrees are valued
  • Strong documentation and communication skills using MS Office suite (Word, Excel, PowerPoint) and business intelligence software (AWS Quicksight, Tableau, PowerBI)
  • Outstanding communication, organizational skills, and professionalism
  • Strong retirement plan
  • Tuition reimbursement
  • Comprehensive healthcare
  • Support for working parents
  • Flexible Time Off (FTO)
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