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San Francisco, California, United States
Hybrid
About this role
BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary and individual investors around the world. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs.
BlackRock's Model Portfolio Solutions (MPS) team develops quantitative investment strategies to deliver consistent outperformance for clients seeking tactical, outcome-oriented, and/or strategic investment solutions. The team implements these strategies across a global suite of ETFs and active funds. MPS is one of the fastest growing businesses at BlackRock.
MPS is committed to attracting, developing and retaining a diverse and inclusive workforce. We are passionate about creating and promoting an environment where all employees are valued and respected. Consistent with our diverse client base, we recognize the benefit that diversity brings to the success of our business.
Role Overview
As 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.
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.
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 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.
We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.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.