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BlackRock
Quantitative Data Engineer (Scala), Aladdin Financial Engineering, Vice President
BlackRock
Mumbai•Hybrid•7-10 Yrs•Jul 8
Job description
Hybrid
Overview
About Aladdin Financial Engineering (AFE):
Responsibilities
- This is a VP level position, and the individual will contribute as SME on Portfolio Risk Analytics data. The person will leverage Big Data technologies, Data platforms like Snowflake, Databricks to build out comprehensive analytics offering backed by enhanced data as well as leverage AI for efficiency and agentic automation. The person will partner with Investment teams and clients to help generate Investment Intelligence.
Qualifications
- 7+ years of experience in Data Engineering, Quantitative Analytics, or Financial Technology environments.
- Strong programming expertise in Scala with a solid understanding of Functional Programming concepts.
- Hands-on experience with Spark and distributed computing frameworks for large-scale data processing.
- Strong knowledge of ETL development, data curation, analytics pipelines, and production data workflows.
- Familiarity with AI/ML workflows, data governance, and automation frameworks to enhance analytics and operational efficiency.
- Working knowledge of financial instruments (e.g., Bonds, Derivatives, Credit Products) and portfolio risk analytics data.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Economics, Statistics, or a related quantitative discipline.
- Strong analytical, problem-solving, and quantitative reasoning skills.
- Understanding of statistical methodologies and their application to financial or analytics use cases.
- Excellent communication and stakeholder management skills with the ability to collaborate across technology, quantitative, and investment teams.