About this roleAbout this role
SpiderRock Advisors (SRA) seeks a highly skilled Quantitative Developer to help scale the technology used to support its option overlay separately managed account (SMA) strategies across proposal generation, portfolio construction, risk analytics and trading workflows.
This role sits in SRA's technology organization and involves designing, building, and supporting production-grade platforms for option analytics, margin monitoring and technology assisted trading. The ideal candidate brings strong software engineering discipline, practical experience working with quantitative or data-intensive systems, and a solid understanding of option markets.
Key Responsibilities
- Design, develop, and maintain Python-based services, libraries, and analytics tools.
- Collaborate with the portfolio management, research, trading and sales teams to transform ideas into useable software products.
- Serve as a subject matter expert on option markets within the technology organization.
Qualifications
- Strong proficiency in a programming language with a preference for Python.
- Experience building maintainable, production-quality software.
- Strong understanding of software design, testing, debugging, version control, observability, and production support practices.
- Strong knowledge of option markets, volatility surfaces, greeks, scenario analysis, VaR and other risk measures.
- Broad knowledge of financial markets, data providers and risk models.
- Strong analytical, problem-solving, communication, and decision-making skills, with the ability to work effectively across technical and non-technical stakeholders.
- Able to effectively leverage AI to increase productivity and produce high-quality code.
- Knowledge of risk based and Reg T margin calculations (desirable but not required).
Requirements & Professional Experience
- 5+ years of professional quantitative development, software engineering, data engineering, or financial technology experience.
- 2+ years of professional experience with derivatives.
- Experience working with systems that support trading, portfolio construction, risk, analytics, market data, or investment workflows.
- Experience with Dash, Open Container Initiative (OCI) container image packaging and runtime, Prefect, MySQL, AWS (desirable but not required).
Education
- Bachelor's, Master's, or PhD in a highly quantitative field.
For Chicago, IL Only the salary range for this position is USD$160,000.00 - USD$210,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo 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 modelBlackRock'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. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
Guidance on AI use for candidatesAt BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided
guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
