About this roleJoin the
Portfolio Analytics Group (PAG), a highly collaborative, multidisciplinary team of forward-deployed engineers and data scientists at the forefront of applied analytics at BlackRock.
As part of the
Aladdin Financial Engineering (AFE) organization, PAG designs, develops, and deploys advanced analytical solutions that combine Aladdin's technology platform, financial models, and data to solve complex real-world investment and business challenges. Our solutions are used across BlackRock's investment, product, and distribution organizations, helping drive better portfolio insights, support strategic decision-making, improve client outcomes, and contribute to winning new business.
The team works across the full spectrum of asset classes-including equities, fixed income, derivatives, and private markets-providing exposure to a diverse range of investment strategies, products, and client needs. PAG sits at the intersection of technology, analytics, and business, partnering directly with stakeholders to translate complex challenges into scalable, impactful solutions.
About the RoleWe are seeking a highly motivated and driven individual to join our San Francisco team and help build the next generation of analytical capabilities that sit alongside and extend the Aladdin platform. These tools support a broad range of use cases, including portfolio analysis, product strategy, sales enablement, client engagement, and increasingly, AI-powered decision support.
In this role, you will partner closely with product, distribution, and technology teams to identify high-impact opportunities, rapidly prototype solutions, and iterate based on real-world feedback. Success requires the ability to bridge sophisticated analytical concepts and practical business needs, creating fit-for-purpose solutions that integrate seamlessly into established workflows.
Successful candidates will wear multiple hats, acting as hands-on analytics developers, internal technology advocates, and business-oriented project managers. On the technical side, they will demonstrate a strong aptitude for learning our proprietary technology ecosystem, and for working with various programming languages and technology stacks. They should also possess technical fluency in AI, Python, and database languages, along with experience building end-to-end analytical applications. Equally important are the ability to engage effectively with stakeholders and a solid understanding of financial markets and instruments.
Key Responsibilities- Lead the end-to-end design and delivery of complex, cross-functional analytics initiatives.
- Develop analytical products and frameworks that empower product teams, sales organizations, and clients.
- Partner closely with technical partners, product leaders, and client teams to define and execute against strategic roadmaps.
- Translate business challenges into scalable, data-driven solutions leveraging Aladdin capabilities.
- Serve as a trusted advisor to senior stakeholders, influencing decisions and helping shape strategic direction.
- Provide technical excellence through mentorship, collaboration, and continuous improvement.
- Communicate complex analytical concepts and business insights effectively to technical and non-technical audiences.
Qualifications & Experience- 7+ years of experience across financial markets, analytics, and software engineering.
- Proven track record of delivering complex, cross-functional analytics and technology solutions.
- Strong Python programming skills and experience working with large-scale analytical systems and production-quality codebases.
- Deep understanding of investment products, portfolio analytics, and investment workflows.
- Demonstrated ability to influence and collaborate with senior stakeholders.
- Excellent communication and presentation skills, with the ability to simplify complex concepts.
- Self-starter with a high degree of accountability, resilience, and follow-through.
- Strong collaborator with experience working across global teams.
- Passion for innovation and an interest in applying emerging technologies, including AI and advanced analytics, to solve real business problems.
For San Francisco, CA Only the salary range for this position is USD$180,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
Our benefitsTo 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 modelBlackRock'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 candidatesAt 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.
