Associate, Quantitative Developer, Model Portfolio Solutions (MPS), Multi-Asset Strategies & Solutions (MASS)

BlackRock•San Francisco, CA

4d•$116,000 - $155,000•Hybrid

About The Position

BlackRock is a leading asset management firm offering a wide range of investment solutions. The Model Portfolio Solutions (MPS) team within BlackRock focuses on developing quantitative investment strategies to achieve consistent outperformance for clients. This team is rapidly growing and is committed to fostering a diverse and inclusive workforce. As a Quantitative Developer on the MPS team, you will be integral to BlackRock's innovation in quantitatively driven investing. Your role will involve designing, building, and scaling signal implementations and analytical tools used by researchers and portfolio managers. You will translate advanced quantitative research into production-ready signals, integrate AI and agentic tooling into investment workflows, enhance investment controls, and deliver scalable solutions for a global, systematic business.

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.

Responsibilities

Implement quantitative signals and portfolio tooling by designing, developing, and maintaining high-quality, reusable Python components for systematic signals and portfolio management workflows.
Translate quantitative research into production-grade signal libraries that are robust, performant, and maintainable, including appropriate testing and documentation.
Collaborate closely with portfolio managers, quantitative researchers, and other investment professionals.
Integrate AI into development and investment workflows by exploring and implementing AI technologies (e.g., GitHub Copilot, agentic AI frameworks) to automate workflows and enhance productivity.
Coach and mentor 'citizen developers' to improve the team's technical standards, coding practices, and tooling usage.
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 ensuring reliability, scalability, and data quality.
Monitor and support critical team processes and applications, ensuring high availability and reliability.
Respond promptly to incidents, perform root-cause analysis, and drive permanent fixes and process improvements.
Formalize and maintain build, release, testing, and deployment processes for signals, applications, and algorithms.
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.