Quantitative Data Specialist - AFE Single Security

BlackRock • New York, NY

3d • Hybrid

About The Position

Join a diverse and collaborative team of over 300 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Description: We are looking for a person to join the Advanced Data Analytics team within AFE Single Security. Advanced Data Analytics is a team of Quantitative Data Specialists, focused on delivering Research & Derived Data, Governance and Research Platform. The team leverages data, cloud, and emerging technologies to deliver research and production data/data solutions, for core analytics and investment teams, in the Single Security space. The team uses various statistical/mathematical methodologies to derive insights and generate content to help develop predictive models, clustering, and classification solutions and enable Governance. The team works on Mortgages, Structured Products, Credit Products, and Private Markets. We are looking for a person to work on our Structured Product space as well as focus on public structured products. The individual will contribute as SME on structured products. 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.

Requirements

• Strong analytical and problem-solving skills
• Excellent communication t abilities.
• Experience in Scala & Functional Programming
• Knowledge of ETL, data curation and analytical jobs
• Experience leveraging distributed computing framework with Spark
• Basic knowledge of financial instruments like Bonds, Derivatives etc.
• Basic knowledge of statistical methodologies
• Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra
• Bachelor’s/master's in computer science with a minor in Math, Econ, or related field
• 3+ years of relevant experience

Nice To Haves

• Experience in cloud managed services like Dataproc, Databricks is a plus
• Experience in Python is a plus

Benefits

• employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits.
• Flexible Time Off (FTO)
• strong retirement plan
• tuition reimbursement
• comprehensive healthcare
• support for working parents

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level