Research Engineer, Portfolio Management Group (PMG Tech), Associate
BlackRock (company site, opens in a new tab)MumbaiOn-siteDirect career pageEst. 18–30 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain data workflows, analytics solutions, and AI-assisted capabilities to support risk management and quantitative research.
- Collaborate closely with risk managers, quantitative analysts, AI leads, and engineers within a cross-functional team to deliver scalable, production-grade data assets and technological solutions.
- Translate business and risk workflow requirements into scalable data solutions using Python, SQL, cloud data platforms, and workflow orchestration tools.
Minimum Requirements
- Strong programming skills in Python and SQL with experience in data engineering or data-intensive application development.
- Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, or related field.
- Experience with web-harvesting techniques and cloud data platforms (e.g., Snowflake, BigQuery, Google Cloud Platform).
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building scalable data solutions that integrate AI capabilities within quantitative finance or risk management contexts.
- Proven ability to work in cross-functional teams involving engineering, research, and business stakeholders to translate complex requirements effectively.
- Comfortable applying advanced data engineering practices such as continuous integration/delivery, production-grade data ops, and workflow orchestration frameworks.