BlackRock
Associate, Portfolio Analytics Group (PAG)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
About this role
About the Portfolio Analytics Group (PAG):
Join the Portfolio Analytics Group (PAG), a highly collaborative and multidisciplinary team of in-house, forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock.
As part of the Aladdin Financial Engineering (AFE) division, PAG develops and deploys advanced analytical solutions that integrate Aladdin’s technology platform, financial models, and data to solve complex, real-world investment challenges. These solutions are used by portfolio managers and risk professionals across BlackRock to support investment decisions, contributing to outcomes such as improved portfolio positioning and winning client mandates. The team works across the full breadth of asset classes—including equities, fixed income, derivatives, and private markets—reflecting the diversity and scale of investment strategies we support.
Role Overview:
We are seeking a high-performing individual at Analyst or Associate level to join the Private Markets Analytics pillar within PAG in London. The role involves partnering with BlackRock’s Private Financing Solutions Business to deliver solutions across the investment lifecycle, including fundraising, portfolio construction, deal due diligence and portfolio monitoring. The focus is on translating complex analytical capabilities into intuitive solutions across private markets, with a particular emphasis on private credit. Examples include cash flow forecasting, liquidity modelling, portfolio risk analysis and credit risk analysis.
The successful candidate will wear multiple hats, acting as hands-on analytics developer, business-oriented project manager and subject matter expert in private markets analytics. On the technical side, the candidate needs to demonstrate a strong aptitude for learning our proprietary technology ecosystem, and for working with various programming languages and technology stacks. Fluency across AI technologies, Python, and database languages, along with experience building end-to-end analytical applications is equally important as the ability to engage effectively with stakeholders and a solid understanding of financial markets and instruments.
Key Responsibilities:
- Build and maintain strong partnerships with investment teams, identifying high-impact opportunities and driving execution from ideation through deployment
- Build a strong understanding of private markets investment processes and operate as a credible partner to investment teams, product strategists and risk managers
- Translate complex analytics into intuitive, fit-for-purpose solutions that integrate directly into investment workflows and enhance decision-making
- Prototype, test, iterate, and deploy analytical and AI-driven applications using firm infrastructure and modern technology stacks
- Apply strong project management discipline across initiatives, including prioritization, stakeholder coordination, and timely delivery
- Partner closely with engineering teams to productionize solutions and ensure scalability, reliability, and long-term maintainability
- Communicate insights, methodologies, and outputs clearly through presentations, discussions, and written materials
- Develop a deep understanding of the firm’s technology ecosystem, including its analytical capabilities and financial models, to identify opportunities and gaps
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Qualifications / Experience:
- Associate candidates should have 3+ years of experience in a highly analytical role, ideally within financial services
- Ability to work effectively with both technical and investment stakeholders
- Strong open-ended problem-solving skills and experience building impactful analytical applications
- Proficiency in Python and SQL at a minimum, with experience developing scalable, production-grade solutions
- Prior experience in private markets is a plus
- Familiarity with AI/ML/LLM techniques, agentic systems and AI-enhanced coding is a plus
- Experience with cloud and UNIX/Linux environments, Git, and modern development workflows (e.g., Azure DevOps) is a plus
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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, race, religion, sex, sexual orientation and other protected characteristics at law.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location