at BlackRock
Asset ManagementPosted 4 days ago
No clicks
**Advanced Data Analytics - Quant Data Specialist, Associate** Support BlackRock's Aladdin Financial Engineering team by driving structured products analytics. Apply advanced mathematical methodologies and leverage big data tools (Snowflake, Databricks, Spark) to derive insights and build predictive models. Collaborate with investment teams to generate intelligence. Bring 3+ years of relevant experience, proficiency in Scala, functional programming, and familiarity with financial instruments.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
Job description
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 Aladdins 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 anAssociatelevel position, and we are looking for a person to workonour Structured Product space both public and private.The individual will contribute as SME on structured products. The person will leverageBig Data technologies, Data platforms like Snowflake, Databricks to build outcomprehensive 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.
Experience
Strong analytical and problem-solving skills
Excellent communication t abilities.
Experience in Scala & Functional Programming
Knowledge of ETL, data curation and analytical jobs
Knowledge of AI worflows
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
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
3+ 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
BlackRocks 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.
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 childrens 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. Its why were dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock (opens in new window) | Twitter: @blackrock (opens in new window) | LinkedIn: www.linkedin.com/company/blackrock (opens in new window)
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.
R263711
