Implement and enhance portfolio management and analytics tools, primarily in Python, to support liquidity management, risk monitoring, and investment decision-making
Develop, deploy, maintain, and monitor portfolio engineering algorithms and workflow automation solutions
Identify and implement opportunities to improve operational processes using data analytics and scalable technology solutions
Partner with portfolio managers to translate investment processes into systematic, production-ready tools
Integrate portfolio architect solutions into BlackRock’s technology ecosystem, including Aladdin
Collaborate with BlackRock technology teams to ensure business requirements are clearly defined and implemented effectively
Support reporting, analytics, and monitoring frameworks used in daily portfolio oversight
Maintain awareness of regulatory considerations impacting cash portfolios.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Finance, or other quantitative fields
3+ years of experience in investment management, trading, or finance-related fields preferred
Foundational understanding of money markets, fixed income instruments, or liquidity products is a plus
Strong programming skills in Python (preferred), and/or Java with solid object-oriented programming experience
Knowledge of the Python libraries (Pandas, NumPy, PySpark, Streamlit, etc.) and experience working with large datasets and statistical processing
Experience with project management, software development lifecycle (SDLC), including version control, and testing frameworks
Experience with data visualization tools (Tableau & Power BI) and Snowflake
Excellent analytical and problem-solving skills with strong attention to detail
Strong communication skills and ability to collaborate across investment, risk, and technology teams
High degree of professional integrity, discretion, and judgment
Ability to organize and operate effectively in a fast-paced, team-oriented environment
Willingness and capability to adopt, learn and effectively utilize AI tools enhance productivity and decision-making.