Vice President, Technology Product Management (E)

BlackRock•New York, NY

1d•$162,500 - $215,000•Hybrid

About The Position

The Analytics Product team empowers investment and risk management decisions for BlackRock and Aladdin clients through models, analytics, research, and investor workflows. The team delivers value by developing applied solutions, enabling new opportunities with fit-for-purpose analytics, and contributing subject matter expertise across the client lifecycle. Working closely with partner teams across the Aladdin Business, Analytics Product supports the analytics and product development lifecycle with end-to-end ownership. The team accelerates model development and delivery, supports new model features and infrastructure enhancements, drives adoption across the Aladdin community, and promotes model quality through disciplined processes and governance. Analytics Product also helps shape the multiyear strategy for analytics and investor workflows, including private markets and whole-portfolio analytics, analytics infrastructure, Open Analytics, and application programming interfaces (APIs). The team combines problem-solving, product vision, financial expertise, technology, and a scalable operating model to address investment, risk, and client needs. Its work is focused on commercial outcomes, industry leadership, artificial intelligence (AI), and rewarding career opportunities.

Requirements

Candidates should demonstrate an ability to solve complex, real-world problems within investment and risk management businesses.
Strong quantitative expertise, product judgment, stakeholder management, communication, presentation, and commercial judgment will support success in this role.
5–10 years of experience applying quantitative methods and advanced analytics to develop, deploy, or use financial models, with expertise in areas such as portfolio construction, optimization, economic scenario simulation, strategic asset allocation, or macroeconomic analysis.
Demonstrated ability to lead complex, ambiguous, cross-functional analytics initiatives from concept through execution while managing competing priorities, setting expectations, and delivering with attention to detail.
Degree in engineering, finance, economics, mathematics, business management, or another quantitative field of study.
Ability to use programming and analytical tools, such as Python, advanced Excel, or comparable tools, to support quantitative analysis and product development.
Strong quantitative and technical capabilities, including the ability to identify complex analytics problems, design and communicate solutions, and apply artificial intelligence techniques to deliver practical, scalable outcomes.
Strong understanding of financial markets and the ability to evaluate how market events affect portfolios, analytics, and client workflows.
Strong project management, communication, presentation, and stakeholder-management skills, with the ability to organize workflows and explain complex concepts clearly to technical and non-technical audiences.

Responsibilities

Enhance BlackRock’s Aladdin platform by developing AI-driven portfolio construction, strategic asset allocation, total portfolio approach, optimization, and simulation analytics, models, and processes in response to market demands, industry events, credit market expansion, and regulatory change.
Apply AI technologies to advance portfolio construction and simulation capabilities, accelerate product innovation, and deliver scalable client solutions.
Evaluate evolving market dynamics and stakeholder needs to influence the analytics roadmap and prioritize high-impact product capabilities.
Contribute to firmwide initiatives that advance analytics capabilities, strengthen strategic partnerships, and improve client outcomes.
Address complex industry challenges and demonstrate Aladdin’s capabilities by developing customized, fit-for-purpose solutions and analyses for targeted client and prospective-client use cases.
Apply subject matter expertise and thought leadership to support client engagement across presale, implementation, and adoption activities.
Provide guidance on sophisticated analytics inquiries to clients and partners across Client Business, Client Services, Analytics Production, and Product teams.