Research Engineer, Portfolio Management Group (PMG Tech), Associate
BlackRock · Posted Oct 23
Investment management, asset management, risk analytics, and wealth services
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About the role
Portfolio Management Group Technology (PMG Tech) is the horizontal technology platform within BlackRock’s Portfolio Management Group, integrating portfolio management, risk management, and quantitative workflows with engineering, artificial intelligence, and data capabilities. Partnering with Risk and Quantitative Analysis (RQA), the team builds data and analytics platforms that strengthen risk management and scale solutions across investment and enterprise risk domains. This role, embedded within a cross-functional PMG Tech Pod, develops data pipelines, analytical tools, and AI-assisted capabilities using Python, SQL, and cloud data platforms to turn risk and quantitative challenges into actionable insights.
What you will do
- Build and maintain web-harvesting processes, data pipelines, transformations, and workflows that support research hypotheses and data analysis.
- Develop platform capabilities that source high-quality data and create scalable, reliable, and maintainable data solutions.
- Create research utilities, prototypes, dashboards, and exploratory tools that support insight generation and research workflows.
- Engage with investors, researchers, risk managers, and quantitative analysts to understand their workflows and translate business requirements into effective data solutions.
- Collaborate with core engineering teams to adopt data-extraction and data-management capabilities that accelerate investment research.
- Partner with artificial intelligence leads to source data and build applications that supplement research with artificial intelligence-assisted insights.
Skills used in this role
What the employer is looking for
- Strong programming capabilities in Python and Structured Query Language, supported by analytical thinking and effective problem-solving skills.
- Demonstrated experience in data engineering, data analytics, or the development of data-intensive applications.
- Knowledge of, or curiosity about, investment research and risk-management workflows or similar domains.
- Proven ability to collaborate effectively across engineering, research, and business teams and translate requirements into scalable technical solutions.
- A 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 artificial intelligence and machine learning tooling, large language model experimentation, retrieval-augmented generation, summarization, and question-and-answer applications.
- Experience with dashboards, notebooks, lightweight research tools, enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling, or directed acyclic graph-based workflow orchestration frameworks for data and batch processing is beneficial.
Benefits and support
- strong retirement plan
- tuition reimbursement
- comprehensive healthcare
- support for working parents
- Flexible Time Off (FTO)
About BlackRock
BlackRock, Inc. is an American multinational investment management corporation and the world's largest asset manager. The firm provides institutional and individual clients with a broad range of investment, advisory, and risk management products, including its proprietary Aladdin financial technology platform. Headquartered in New York City, BlackRock manages trillions in assets across global equity, fixed income, alternative investments, and iShares exchange-traded funds (ETFs).
- Industry
- Investment Management
- Company size
- 24900 employees
- Founded
- 1988-03-09
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Director
Chief Financial Officer and Global Head of Corporate Strategy
Chief Operating Officer
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