15 hours ago
Mumbai, IndiaMid Level
Responsibilities
- Build and maintain web-harvesting processes, data pipelines, transformations, and workflows supporting research hypotheses and data analysis.
- Develop scalable, reliable, and maintainable data platforms and data solutions.
- Create research utilities, prototypes, dashboards, and exploratory tools for insight generation and research workflows.
- Engage with investors, researchers, risk managers, and quantitative analysts to translate workflows and business requirements into data solutions.
- Collaborate with core engineering teams on data-extraction and data-management capabilities for investment research.
- Partner with AI leads to source data and build applications providing AI-assisted research insights.
Requirements
- Strong programming capabilities in Python and SQL, with analytical thinking and problem-solving skills.
- Demonstrated experience in data engineering, data analytics, or developing data-intensive applications.
- Knowledge of or curiosity about investment research and risk-management workflows or similar domains.
- Ability to collaborate across engineering, research, and business teams and translate requirements into scalable technical solutions.
- Bachelor’s or master’s degree in computer science, data science, data engineering, or a related field.
- Experience with web-harvesting techniques and cloud data platforms such as Snowflake, BigQuery, Google Cloud Platform, and Google Cloud Storage.
- Exposure to AI and machine learning tooling, large language model experimentation, retrieval-augmented generation, summarization, and question-and-answer applications.
- Experience with dashboards, notebooks, lightweight research tools, container orchestration platforms, declarative infrastructure, horizontal scaling, or directed acyclic graph-based workflow orchestration frameworks is beneficial.
Benefits
- Strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off.
- Hybrid work model requiring at least four days in the office per week with flexibility to work from home one day per week.
Tech Stack
Categories
Data Engineering
About BlackRock
BlackRock is a public, New York–based global asset manager and technology provider founded in 1988. It offers investment products—including the iShares ETF franchise—and portfolio and risk management software via the Aladdin platform to institutions, financial advisors, and individual investors, earning primarily management and technology fees. Its shares trade on the NYSE, and the firm serves clients in major markets worldwide.