Quant Data Engineer developing Oracle PL/SQL based solutions for risk analytics at Asset Management Technology. Collaborating with teams to optimize database performance and ensuring data quality.
Responsibilities
Lead the design and development of Oracle PL/SQL database processes, procedures, and packages to support investment risk analytics
Architect scalable and efficient database solutions for high-volume, time-sensitive risk data
Collaborate with risk managers, quantitative analysts, and engineering teams to gather requirements and deliver robust data solutions
Own performance tuning, query optimization, and troubleshooting of production database issues
Ensure data integrity, quality, and governance across systems
Drive modernization efforts, including migration from legacy systems and adoption of best practices
Define and enforce database development standards and documentation
Provide mentorship and technical guidance to junior developers
Requirements
10+ years of hands-on experience in Oracle PL/SQL development and database engineering
Proven expertise in designing and implementing complex database solutions in a production environment
Strong understanding of relational database design, indexing strategies, and performance optimization
Experience working with investment risk systems or financial data is highly preferred
Familiarity with tools such as Jira, Git, and CI/CD pipelines
Experience with data modeling and ETL frameworks
Exposure to Python or other scripting languages for data integration
Knowledge of cloud-based database solutions (e.g., AWS RDS, Snowflake) is a plus
Benefits
comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources
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