Portfolio Analytics Specialist

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. 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 a Portfolio Analytics Specialist in London. This Associate will deliver analytical solutions that leverage and extend Aladdin’s proprietary financial models, data, technology, and platform capabilities which enable Client Businesses and BlackRock Product Management functions to achieve their asset-gathering goals, make informed investment decisions, and manage the product lifecycle.

In this role, you’ll build and deploy advanced analytics to complement existing Aladdin financial models to bring quantified insights into the characteristics of BlackRock’s and other asset managers’ funds – which will be used by employees and clients to inform investment decisions and clarify a product’s relative competitive positioning. You’ll combine strong analytical, financial, and investment process understanding with advanced Python skills to deliver robust, scalable solutions to support client communications, business prioritization, and product (fund and ETF) marketing decisions.

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

Key Qualifications/experience Include

• 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.

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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

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.

Key skills/competency

• Portfolio Analytics
• Financial Modeling
• Python Programming
• SQL Data Management
• Aladdin Platform
• Investment Management
• Risk Management
• Data Analysis
• Stakeholder Collaboration
• Project Management