Quantitative Data Engineer (Scala), Aladdin Financial Engineering, Vice President
Core
Build scalable analytics datasets and commercial data solutions using AI-enabled data engineering to power investment intelligence, predictive models, and portfolio risk analytics for BlackRock teams and Aladdin clients.
Role type
Vice President, Quantitative Data Engineer (Scala)
Builds
Curated analytics datasets, commercial data solutions, and APIs for Security, Liquidity, Portfolio Analytics, Energy, and Climate models.
Domain
Financial Technology / Quantitative Analytics / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Scala (Functional Programming), Spark, distributed computing, ETL development, data curation, Snowflake, Databricks, AI/ML workflows, financial instruments knowledge, portfolio risk analytics
Preferred skills
Agentic automation, statistical methodologies, clustering, classification solutions
Technologies
Scala, Spark, Snowflake, Cassandra, Databricks, Dataproc
Responsibilities
Leverage Big Data technologies and cloud platforms to build comprehensive analytics offerings; partner with Investment teams and clients to generate Investment Intelligence; apply statistical/mathematical methodologies to derive insights for predictive models and Governance.
Seniority
VP, hands-on IC with strategic partnership
