About this roleAbout This Role:Aladdin is the central nervous system that enables investment professionals to manage risk, oversee portfolios, and operate at scale. As a $1BN+ technology platform, Aladdin is increasingly leveraging artificial intelligence to transform investment operations-driving automation, improving data quality, and enabling more intelligent decision-making across the post-trade lifecycle.
The Aladdin Product Management team operates at the intersection of business, technology, and data. In this role, you will focus on building AI-powered capabilities that enhance operational efficiency, reduce risk, and streamline workflows across trade processing, reconciliations, settlements, and data management.
Your Impact:- Define and execute the product vision and roadmap for AI-driven solutions across investment operations
- Identify opportunities to automate and optimize post-trade workflows using machine learning and generative AI (e.g., exception management, reconciliations, trade breaks, settlements)
- Partner with Operations, Engineering teams to design and deploy AI models that improve accuracy, scalability, and efficiency
- Build intelligent workflows that leverage AI for anomaly detection, data enrichment, and decision support
- Engage with clients and internal users to validate use cases, gather feedback, and drive adoption
You Are:- Passionate about applying AI to solve complex operational challenges at scale
- Deeply interested in how investment operations function and where inefficiencies can be removed
- Curious and proactive, with a willingness to explore new technologies and approaches
- Entrepreneurial, with the confidence to challenge legacy processes and drive change
- Collaborative and energized by working in fast-paced, cross-functional environments
- Data-driven and focused on delivering measurable business outcomes
Skills / Requirements:- 5+ years of experience in Product Management or Business Analysis, with exposure to investment operations or post-trade domains
- Strong understanding of the trade lifecycle, particularly post-trade workflows such as reconciliations, settlements, and exception management
- Experience building or supporting data-driven or AI/ML-enabled products;
- Experience working closely with Engineering teams to deliver production-grade solutions
- Proven ability to apply PDLC best practices, including roadmap ownership, requirement definition, and agile delivery
- Strong analytical and problem-solving skills; SQL or Python experience is a plus
- Excellent communication skills, with the ability to translate complex technical concepts into clear business value
- Experience interacting with users and clients, including running demos, gathering feedback, and supporting adoption
- Experience in financial services, fintech, or asset management environments is strongly preferred
For New York, NY Only the salary range for this position is USD$162,500.00 - 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.
