Quant Data Specialist, Aladdin Financial Engineering, Director

BlackRock Company Description: 

BlackRock is one of the world’s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock’s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions — from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world’s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares® ETFs. 

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