Quant Data Specialist, Aladdin Financial Engineering, Director

BlackRock is seeking a Director-level Quant Data Specialist for the Advanced Data Analytics team within Aladdin Financial Engineering (AFE) Single Security. This role involves leading the Private Structured Product space, focusing on public structured products, and managing a team of data specialists. The individual will architect and engineer data solutions using Big Data technologies, Snowflake, Databricks, and AI for efficiency, while building subject matter expertise in structured products to generate investment intelligence for clients.

Must Have

• Lead architect and data engineer for structured products.
• Manage a team of quantitative data specialists.
• Develop and deliver research and derived data solutions.
• Leverage big data, cloud, and AI technologies.
• Build subject matter expertise in structured products.
• Partner with investment teams and clients.
• Strategic leadership experience in financial services.
• Strong analytical and problem-solving skills.
• Excellent communication and relationship management.
• Experience managing large-scale cross-functional projects.
• Proficiency in Scala and Functional Programming.
• Knowledge of ETL, data curation, and analytical jobs.
• Experience with distributed computing (Spark).
• Basic knowledge of financial instruments (Bonds, Derivatives).
• Basic knowledge of statistical methodologies.
• Aptitude for designing data platforms.
• Experience with enterprise databases (Snowflake, Cassandra).
• 12+ years of relevant experience.
• Bachelor's/Master's in Computer Science, Math, or Economics.

Good to Have

• Experience in cloud managed services like Dataproc, Databricks.
• Experience in Python.

Perks & Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)

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 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.

This is a Director level position, and we are looking for a person to build our Private Structured Product space as well as focus on public structured products. The individual will contribute as the lead architect and data engineer in addition to managing a team of data specialists. 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. In addition to the Derived Data Platform, the person is expected to build Subject Matter Expertise in structured products, and partner with Investment teams and clients to help generate Investment Intelligence.

Experience

• Proven experience in strategic leadership roles, preferably within financial services, technology, or data-driven environments.
• Strong analytical and problem-solving skills, with the ability to make tough decisions considering commercial implications and long-term viability.
• Excellent communication and relationship management abilities.
• Demonstrated success in managing large-scale cross functional projects
• 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
• Aptitude for design and building data platforms
• Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra
• Experience in cloud manged services like Dataproc, Databricks is a plus
• Experience in Python is a plus

Qualifications

• Bachelors/master's in computer science with a minor in Math, Econ, or related field
• 12+ years of relevant experience

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.