About this role
Your teamPortfolio 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.
Skills Required
- 3+ years hands-on experience in Data Engineering/Analytics
- Strong programming skills in Python
- Strong SQL skills
- B.S. or M.S. in Computer Science, Data Science/Engineering, or related field
- Experience with cloud data platforms (BigQuery, Snowflake, GCS)
- Experience with data quality, CI/CD pipelines, and data operations
- Proven ability to collaborate across engineering and business teams
- Knowledge or curiosity about investment research workflows
- Experience with web harvesting tools and techniques (Scrapy)
- Exposure to AI/ML tooling, LLM experimentation, or AI applications (OpenAI, Vertex, Anthropic)
- Experience creating dashboards or lightweight research tools (Streamlit, Flask, Tableau, Power BI)
- Familiarity with workflow orchestration or automation tools (Kubernetes, Airflow)
BlackRock Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision plans with HSA/FSA options and telemedicine. Mental-health resources such as counseling/EAP, wellness incentives, and Calm access are also featured.
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Retirement Support — Retirement programs include savings plans, employer-supported contributions described as competitive in summaries, and financial education resources. An Employee Stock Purchase Plan is also noted in certain locations.
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Parental & Family Support — Parental leave is gender-neutral with up to 16 weeks for primary caregivers and 4 weeks for non-primary caregivers. Additional supports include adoption assistance, fertility benefits in some locations, childcare/elder-care resources, and nursing-mother programs.
BlackRock Insights
What We Do
As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com
Why Work With Us
Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.
