Job description

About this role About 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 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. 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 candidates At 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. 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. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . 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. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

Requirements

Must-haves

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.
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).
Bachelor’s, Master’s, or PhD in a highly quantitative field.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonaiaws

Platform: workday
Effort: long