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About This Role
SpiderRock Advisors - Quantitative Python Developer
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!
Key Responsibilities
Our Benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
J-18808-Ljbffr
SpiderRock Advisors - Quantitative Python Developer
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!
Key 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.
- Education: Bachelor's degree in a STEM field with significant focus on programming (Graduate degree preferred).
- Programming Experience: At least 3 years of programming experience in Python.
- Quantitative Skills: Strong knowledge of statistics and data manipulation for quantitative analysis.
- Database Management: Hands-on experience with MySQL/SQL databases for querying and managing large data sets.
- 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.
Our Benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
J-18808-Ljbffr
