Role OverviewAs a Quantitative Developer on the Model Portfolio Solutions team, you will sit at the heart of BlackRock's innovation engine for quantitatively driven investing-designing, building, and scaling the signal implementations and analytical tools that researchers and portfolio managers rely on every day. You will translate cutting-edge quantitative research into production-grade signals, pioneer the integration of AI and agentic tooling into investment workflows, strengthen investment controls, and deliver scalable solutions that shape how a global, fast-growing systematic business invests.
Key ResponsibilitiesImplement quantitative signals and portfolio tooling- Design, develop, and maintain high-quality, reusable Python components that implement systematic signals and support critical portfolio management and investment decision workflows.
- Translate quantitative research into production-grade signal libraries that are robust, performant, and maintainable, with appropriate testing and documentation.
- Collaborate closely with portfolio managers, quantitative researchers, and other investment professionals.
Integrate AI into development and investment workflows- Proactively explore and integrate AI technologies (e.g., GitHub Copilot, agentic AI frameworks) into development processes and investment tools to automate workflows and enhance productivity.
- Coach and mentor "citizen developers" to elevate the team's technical standards, coding practices, and use of tooling.
Data and platform integration- Partner with global technology teams (including Aladdin Engineering) to integrate new data sources and capabilities through APIs and other interfaces.
- Contribute to the design of data pipelines and architectures that ensure reliability, scalability, and data quality.
Production support and monitoring- Monitor and support critical processes and applications owned by the team, ensuring high availability and reliability.
- Respond promptly to incidents and issues impacting the business, performing root-cause analysis and driving permanent fixes and process improvements.
- Formalize and maintain build, release, testing, and deployment processes for signals, applications, and algorithms.
Knowledge sharing and documentation- Develop and maintain high-quality technical documentation, runbooks, and training materials.
- Lead or contribute to training sessions to expand the team's technical knowledge base.
Skills and Requirements- Degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Data Science, or Finance.
- 3-5 years of professional software development experience, with a strong focus on Python in a quantitative or systematic investment context.
- Proven track record of writing production-grade, object-oriented Python code (packages, modules, testing, and code reviews).
- Exposure to financial markets, investment products, knowledge of Aladdin and risk/portfolio management concepts.
- Experience implementing and maintaining systematic signals, quantitative models, or algorithms used in business-critical investment workflows, including backtesting frameworks, time-series analysis, and systematic strategy and signal development.
- Prior experience using AI tools (e.g., GitHub Copilot, Windsurf, agentic AI frameworks) to automate workflows or enhance developer productivity.
- Strong sense of ownership and a proactive, solutions-oriented mindset.
- Clear, effective communication and the ability to partner with non-technical stakeholders and global teams.
- Deep curiosity and commitment to continuous learning across quantitative research, technology, and financial markets, including BlackRock's systematic investment processes.
- Ability to thrive in fast-paced, dynamic environments with shifting priorities and tight deadlines.
Team members benefit from ongoing mentorship, access to cutting-edge technology platforms (including Aladdin), and the opportunity to contribute to high-impact, global initiatives within BlackRock
For San Francisco, CA Only the salary range for this position is USD$116,000.00 - USD$155,000.00 . 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.
