About this role
Business Overview
Portfolio Management Group (PMG) Tech is the horizontal technology platform within BlackRock’s Portfolio Management Group (PMG), integrating portfolio management, risk management, and quantitative workflows with advanced engineering, AI, and data capabilities to make technology a strategic driver of investment and risk outcomes.
Risk & 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 leverages advanced engineering, AI, and data platforms to strengthen risk management capabilities, enhance decision-making, and scale innovative solutions across investment, operational, technology, and enterprise risk domains.
Job Purpose / Background
The Research Engineer partners with Risk & Quantitative Analysis (RQA), PMG Tech, and business stakeholders to build data workflows, analytics solutions, and AI-assisted capabilities that transform risk and quantitative challenges into actionable insights. Embedded within PMG Tech Pods—business-focused cross-functional teams—you will collaborate with risk managers, quantitative analysts, AI Leads, and engineers to deliver high-quality data assets, analytical tools, and technology solutions that support risk management and decision-making.
This role requires a strong understanding of business problems and risk workflows, with the ability to translate requirements into scalable data solutions. You will leverage Python, SQL, workflow orchestration, cloud data platforms (BigQuery, Snowflake, GCS), and visualization tools such as Tableau and Power BI to build and operate data-intensive applications. The role also requires experience with data quality, CI/CD pipelines, and data operations to ensure reliable, production-grade solutions that meet business needs.
Key Responsibilities
Build and maintain web harvesting and data pipelines, transformations, and workflows to support research hypotheses and data analyses.
Develop new platform capabilities to source high-quality data and create scalable and maintainable data solutions.
Develop research utilities, prototypes, dashboards, or exploratory tools as needed by the pod for insight generation or research workflows.
Engage with investors and researchers to understand research workflows and translate requirements into data solutions.
Collaborate with core engineering teams to adopt data extraction and management tools and technologies to accelerate investor research.
Collaborate with AI leads to source data and build AI applications to supplement investor research with AI-assisted solutions.
Skills & Experience
Strong programming skills in Python and SQL.
Strong problem-solving and analytical skills
Knowledge/curiosity about investment research workflows or similar domains.
Prior experience in data engineering or data analytics, or data intensive applications.
Proven ability to work collaboratively across engineering and business teams.
Qualifications
3+ years hands-on experience in Data Engineering/Analytics
B.S. / M.S. college degree in Computer Science, Data Science/Engineering, or related subject area.
Nice to Have
Prior experience web harvesting tools and techniques (Scrapy)
Experience with cloud data tools (Snowflake, BigQuery, GCP).
Exposure to AI/ML tooling, LLM experimentation, or AI applications such as RAG, Summarization and Q&A (Open AI, Vertex, Anthropic).
Experience creating dashboards, notebooks, or lightweight research tools (Streamlit, Flask, Tableau, Power BI).
Familiarity with workflow orchestration or automation tools (Kubernetes/Airflow).
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
-
Retirement Support — A 401(k)/Retirement Savings Plan with a stated company match formula (subject to plan caps) alongside an Employee Stock Purchase Plan is prominently featured. Feedback suggests these elements make the financial-wellness offering a notable strength among large employers.
-
Parental & Family Support — Paid parental leave of at least 16 weeks for primary caregivers, plus adoption support, fertility benefits, and child/elder back‑up care, is highlighted across materials. Offerings are substantial, with specifics varying by location.
-
Leave & Time Off Breadth — Flexible Time Off for many U.S. salaried roles, paired with sick and bereavement leave, provides generous time‑away options. Wellness resources such as free access to Calm and an Employee Assistance Program further support rest and recovery.
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.
Gallery
BlackRock Teams
BlackRock Offices
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.
