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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.
Job Responsibility:
Build core portfolio tooling
Partner with portfolio managers and citizen developers
Integrate AI into development and investment workflows
Data and platform integration
Production support and monitoring
Engineering excellence and DevOps
Analytics and visualization
Knowledge sharing and documentation
Requirements:
6–12 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
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
Strong sense of ownership and a proactive, solutions-oriented mindset
Deep curiosity and commitment to continuous learning across technology and financial markets, including BlackRock’s investment processes
Ability to thrive in fast-paced, dynamic environments with shifting priorities and tight deadlines
Focus on operational risk, delivering resilient, well-controlled and scalable solutions
Exceptional analytical, problem-solving, and debugging skills
Clear, effective communication and the ability to partner with non-technical stakeholders and global teams
Collaborative, low-ego approach that values diverse perspectives and challenges the status quo
Meticulous attention to detail and dedication to high-quality, data-driven outcomes