Multi Asset Python Platform Developer PM, Associate

BlackRock•Atlanta, GA

7d•$105,000 - $140,000•Hybrid

About The Position

As a technologist embedded in the Global MASS Portfolio Management team, you will design, build, and enhance technology and analytical tools used directly by portfolio managers. You will drive platform and process improvements, strengthen investment controls, and deliver scalable solutions that support global investment workflows.

Requirements

5–10 years of professional software engineering experience, with a strong focus on Python.
Proven track record of writing production-grade, object-oriented Python code (packages, modules, testing, and code reviews).
Experience building and maintaining applications or services that are used in business-critical workflows.

Nice To Haves

Degree in Computer Science, Engineering, Data Science, Finance, or a related discipline.
Prior experience using AI tools (e.g., GitHub Copilot, Windsurf, agentic AI frameworks) to automate workflows or enhance developer productivity.
Hands-on experience with data visualization tools such as Tableau or Power BI.
Exposure to financial markets, investment products, or risk/portfolio management concepts.
Familiarity with APIs, data integration, and cloud-based architectures.
Experience with CI/CD pipelines, automated testing frameworks, and modern DevOps practices.

Responsibilities

Build core portfolio tooling: Design, develop, and maintain high-quality, reusable Python components that support critical portfolio management and investment decision workflows. Ensure solutions are robust, performant, and maintainable, with appropriate testing and documentation.
Partner with portfolio managers and citizen developers: Collaborate closely with portfolio managers and other investment professionals to translate investment processes into effective technology solutions. Coach and mentor “citizen developers” to elevate the team’s technical standards, coding practices, and use of tooling.
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. Identify and prototype use cases where AI can meaningfully improve quality, speed, or insight.
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.
Engineering excellence and DevOps: Formalize and maintain build, release, testing, and deployment processes for Python-based applications and algorithms. Promote best practices in version control, code review, CI/CD, and environment management.
Analytics and visualization: Design and maintain dashboards and data visualization solutions using tools such as Tableau, Power BI, or similar. Present complex information in an intuitive way to support portfolio managers’ decision-making.
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.