Research Engineer Portfolio Management Group PMG Tech Associate

5 hours agoMumbai, India Hybrid Ai Jobs by BlackRock

BlackRock

BlackRock is the world’s largest asset manager, operating the IBIT bitcoin ETF and the BUIDL tokenized fund.

New York, NY, USA

Projects

iSharesIndex Platform

About BlackRock

BlackRock (blackrock.com) is the world’s largest asset manager, with production digital-asset businesses: the IBIT spot bitcoin ETF, the BUIDL tokenized money-market fund (with Securitize), and tokenization initiatives.

View jobs by BlackRock

Skills

Artificial Intelligence Bigquery Data Analytics Data Engineering Data Pipeline Data Visualization Google Cloud Platform Google Cloud Storage Large Language Model Machine Learning Python Question-Answering Retrieval-Augmented Generation Snowflake Sql Summarization Web Harvesting Workflow Orchestration

Candidate Availability

Hybrid · Mumbai · Required

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will build and maintain web-harvesting processes, data pipelines, transformations, and workflows for research and analysis. You will develop scalable data solutions, dashboards, prototypes, and AI-assisted applications, translating stakeholder requirements into reliable production-grade tools.

Requirements

Demonstrate strong Python and SQL programming capabilities.
Have experience in data engineering, data analytics, or data-intensive application development.
Understand or show curiosity about investment research and risk-management workflows.
Collaborate across engineering, research, and business teams.
Hold a bachelor’s or master’s degree in a relevant field.
Have experience with web-harvesting techniques and cloud data platforms including Snowflake, BigQuery, Google Cloud Platform, and Google Cloud Storage.
Have exposure to AI and machine-learning tooling, large language model experimentation, retrieval-augmented generation, summarization, and question-and-answer applications.

Responsibilities

Build and maintain web-harvesting processes, data pipelines, transformations, and workflows.
Develop scalable, reliable, and maintainable data solutions.
Create research utilities, prototypes, dashboards, and exploratory tools.
Translate investor, researcher, risk manager, and quantitative analyst requirements into data solutions.
Collaborate with engineering teams to adopt data-extraction and data-management capabilities.
Partner with AI leads to source data and build AI-assisted research applications.

Benefits

Retirement plan
Tuition reimbursement
Comprehensive healthcare
Support for working parents
Flexible Time Off
Discretionary annual bonus
Employee Assistance Program
Mental Health Ambassadors
Parental leave