Analyst/Associate, Investment Engineering (Data Solutions)
Core
Oversee incoming base-level investment data and manage its centralized distribution to internal Portfolio Management, Trading, and Reporting systems.
Role type
Analyst/Associate, Investment Engineering (Data Solutions)
Builds
Data pipelines, data structures, and analysis tools for investment data consumption
Domain
Asset Management / Financial Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data cleansing, vendor data evaluation, data architecture design, automation, project management
Preferred skills
Financial data set experience, vendor platform expertise (Bloomberg, Factset, Refinitiv, Morningstar), CFA certification, Master's degree
Technologies
SQL Server, Snowflake, SQL, Python
Responsibilities
Compile, cleanse, and manage large data sets from multiple sources; Research and evaluate vendor data to assess quality; Conduct data analysis using SQL Server and Snowflake; Design and build data pipelines in partnership with data engineers; Mentor junior analysts
Seniority
Mid-level, hands-on IC with mentorship duties