About this role

Your team

Portfolio Management Group Technology (PMG Tech) is the horizontal technology platform within BlackRock’s Portfolio Management Group. The team integrates portfolio management, risk management, and quantitative workflows with advanced engineering, artificial intelligence, and data capabilities, making technology a strategic driver of investment and risk outcomes.

Risk and Quantitative Analysis (RQA) provides independent oversight of BlackRock’s investment and enterprise risks through quantitative analysis, risk expertise, and evidence-based insights. In partnership with PMG Tech, RQA uses advanced engineering, artificial intelligence, and data platforms to enhance decision-making, strengthen risk management capabilities, and scale innovative solutions across investment, operational, technology, and enterprise risk domains.

Your role and impact

As a Research (AI) Engineer, you will partner with RQA, PMG Tech, and business stakeholders to develop data workflows, analytics solutions, and artificial intelligence-assisted capabilities that transform risk and quantitative challenges into actionable insights.

Embedded within a PMG Tech Pod, a business-focused, cross-functional team, you will collaborate with risk managers, quantitative analysts, artificial intelligence leads, and engineers. You will deliver high-quality data assets, analytical tools, and technology solutions that support risk management and informed decision-making.

This role requires an understanding of business problems and risk workflows, along with the ability to translate requirements into scalable data solutions. You will use Python, Structured Query Language (SQL), cloud data platforms, workflow orchestration, and visualization tools to develop and operate data-intensive applications. You will also apply data quality practices, continuous integration and continuous delivery processes, and data operations to create reliable, production-grade solutions.

Your responsibilities

In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:

• 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.

Your experience

• 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.

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

BlackRock’s 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.

Guidance on AI use for candidates

At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

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 children’s 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. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok .

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.