BlackRock
Associate, Portfolio Analytics Group (PAG)
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About This Role
Join a diverse and collaborative team of technologists in the Portfolio Analytics Group (PAG) who are responsible for the research and development of applied analytical solutions for BlackRock. PAG leverages the Aladdin technology stack, risk & performance models, and data to build solutions addressing specific business problems – problems that require data-driven insights for decision making. This group is part of the Aladdin Financial Engineering (AFE) division which owns Aladdin’s financial models and the resulting analytics used by portfolio and risk management professionals both within and outside BlackRock. Given the diversity of business objectives within BlackRock and across the external Aladdin client community, the models developed and supported by AFE span a wide array of financial products (equities, fixed income, commodities, derivatives, and private markets).
The PAG team is hiring for an Associate position in London to support Client & Product Analytics, delivering solutions to support BlackRock’s asset-gathering goals and management of the product lifecycle e.g., new solutions to support digital product distribution, new analytical frameworks to identify opportunities for our client businesses globally and produce insights on our clients’ portfolios.
Key Responsibilities
- Collaborate with stakeholders to embed advanced analytics directly into business workflows and decision making
- Design, build, and support new analytical capabilities with partner teams to meet emerging requirements and unlock new opportunities
- Develop deep expertise in Aladdin analytical capabilities and AFE financial models
- Collaborate closely with quantitative researchers and engineers across AFE to deliver scalable, innovative, high impact solutions
- Build and manage strong relationships with partner teams to drive execution from idea generation through delivery
- Communicate insights and solutions clearly and compellingly through meetings, presentations, and written materials
- Apply strong project management and communication skills across initiatives - setting direction, driving momentum, coordinating execution, and providing clear, timely updates to partners
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Key Qualifications/Experience
- 3+ years of experience in a highly analytical role within financial services
- Strong critical thinker with a proven track record of using technology to deliver impactful analytical solutions
- Strong Python programming skills – including working knowledge of analytical libraries and of complex codebase
- Proficiency with software development process tools such as ADO, git etc.
- Experience with SQL for managing and accessing data is a plus
- Proven success in contributing to cross functional, technical projects from idea to delivery
- Excellent interpersonal skills, with the ability to build strong, trusted relationships across the business
- Strong communicator and collaborative team player, able to explain complex concepts clearly to technical and nontechnical audiences
- Naturally curious and driven, with a deep interest in understanding how processes work and a creative approach to solving unconventional problems
- Continuous-learning mindset with a strong desire to learn new skills, tools, and technologies
- Self-motivated and adaptable, able to work independently while thriving in a fast paced, team-oriented environment
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.
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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.
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