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Senior VP-level Portfolio Risk Modeler Data Lead – Drive data quality & integration for global multi‑factor risk models.
Lead data domain ownership, QC frameworks, and cross‑functional delivery to support fixed income and equity portfolio risk.
About this role
BlackRock – Aladdin Financial Engineering (AFE)
About the Role
We are seeking a VP-level Data Lead to drive the data domain supporting global multi-factor Portfolio Risk models across fixed income and equity.
This role is responsible for end-to-end execution and ownership of data quality, validation, and usability across the modeling data lifecycle. The VP will partner closely with modeling, engineering, and upstream data teams to ensure that data powering portfolio risk models is robust, well-governed, and aligned with modeling requirements.
The role combines strategic judgment with hands‑on execution , with an initial focus on model input data onboarding and quality control , expanding over time to derived data, QC frameworks, and integration of new datasets.
Domain & Data Scope
Market data (prices, yields, spreads, returns) across regions and time zones
Firm fundamentals and issuer-level financial metrics
Bond-level characteristics and reference/security master data
Fixed income analytics such as durations and spreads
Equity returns, factor inputs, and cross-asset pricing series
Scope also includes:
- Derived model data (factor exposures, covariance matrices, risk decompositions)
- Model validation metrics and QC monitoring frameworks
- Research and exploratory datasets, including structured and unstructured sources
Key Responsibilities
Data Domain Execution & Ownership
Own the data domain for portfolio risk models, ensuring high standards of data quality and usability
Ensure data meets requirements for accuracy, completeness, consistency, and timeliness
Define and evolve scalable QC frameworks aligned with modeling needs
Drive improvements in data integration into modeling workflows
Quality Control & Validation
Design and implement data validation rules and QC logic
Establish monitoring across input and derived model data
Ensure traceability, documentation, and reproducibility of model data
Prioritize improvements based on impact to model performance and stability
Cross-Functional Delivery
Partner with portfolio risk modeling teams to translate requirements into data solutions
Collaborate with data engineering teams to define and implement data pipelines
Engage with upstream data providers to improve data quality and reliability
Drive resolution of data issues across teams with strong ownership
Data Evolution & Research Enablement
Lead onboarding and evaluation of new datasets for modeling and research
Define governance approaches for structured and unstructured data integration
Support adoption of advanced techniques (including AI/ML where relevant)
Leadership & Communication
Drive execution across global, cross‑functional stakeholders
Provide clear, structured updates on data quality, risks, and initiatives
Promote accountability and strong execution standards across partners
Experience
8–12+ years supporting data in quantitative modeling, risk, or analytics environments
Strong familiarity with global fixed income and/or equity datasets
Experience driving data initiatives across multiple teams and workflows
Required Skills
Deep understanding of data lifecycle, QC frameworks, and validation processes
Strong grasp of portfolio risk modeling data requirements
Ability to prototype and validate data logic (Python/SQL or similar)
Strong stakeholder management and execution focus
High ownership, attention to detail, and delivery mindset
What Success Looks Like
Data supporting models is high quality, well‑governed, and consistently reliable
QC frameworks are robust, scalable, and aligned with modeling use cases
Data onboarding is efficient and integrated into modeling workflows
Cross‑team data initiatives are delivered with clear ownership and outcomes
Modeling teams experience smooth, predictable data workflows
Salary
For New York, NY Only the salary range for this position is USD$170,000.00 - USD$225,000.00 . 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.
Benefits
To 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.
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.
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 .
Equal opportunity and legal notice
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement .
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy .
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.