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, riskmanagementand 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 werepresenteach 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 over300 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. AFEprovidesinvestment 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.

RoleDescription: 

We are looking for a person to join the Advanced Data Analytics team withinAFE Single Security. Advanced Data Analytics is a team of Quantitative Data Specialists, focused on deliveringResearch & DerivedData, Governance and Research Platform.The team leverages data, cloud, and emerging technologiesto deliverresearch and production data/data solutions,for core analytics and investment teams,in theSingleSecurity 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, StructuredProducts,Credit Products,and Private Markets.

This is aDirectorlevel position, and we are looking for a person tobuildour Private Structured Product space as wellasfocus on public structured products.The individual will contribute as the lead architect anddata engineerin addition to managing ateam of data specialists.The personwillleverageBig Data technologies, Data platforms like Snowflake, Databricksto build outcomprehensive analytics offering backed by enhanced data as well asleverage AIfor efficiency and agentic automation.In addition to the Derived DataPlatform,the person is expected to build Subject Matter Expertise in structured products,and partner with Investment teams and clients tohelp 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-scalecross functionalprojects

• Experience inScala& Functional Programming

• Knowledge of ETL, data curation and analytical jobs

• Experienceleveragingdistributed computing framework with Spark 

• Basic knowledge of financial instruments like Bonds, Derivatives etc.

• Basic knowledge ofstatisticalmethodologies

• Aptitude for design and buildingdata platforms

• Knowledge and Experience of working with large enterprise databases like Snowflake, Cassandra

• Experiencein cloud manged services likeDataproc, Databricksis a plus

• Experience inPythonis a plus

Qualifications

• Bachelors/master's in computer sciencewithaminorin Math,Econ,or related field

• 12+years of relevant experience