Quantitative Data Engineer (Scala), Aladdin Financial Engineering, Vice President

About This Role

About Aladdin Financial Engineering (AFE): 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. Advanced Data Analytics is a team of Quantitative Data Engineers, apply deep financial and statistical expertise, leverage robust & scalable cloud infrastructure and AI-enabled data engineering to deliver trusted research and production data, as well as commercial data solutions and APIs, across structured products, public credit, and private markets for Security, Liquidity and Portfolio Analytics as well as Energy and Climate models. We unify reference, collateral, financial, asset, ESG and macro inputs into curated analytics datasets that power investment intelligence, model development, and faster decision-making for BlackRock teams and Aladdin clients. 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. 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.

Requirements

• 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.
• Experience with enterprise data platforms such as Snowflake, Cassandra, and cloud-based solutions including Databricks or Dataproc.
• 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.

Qualifications

• 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.
• Experience building scalable data products and analytics solutions using modern big data technologies.
• 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.

Our Benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided

guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok. BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.