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Portfolio Risk Modeler Data Lead, Vice President II

Locations: New York, New York

Overview of Technology roles

At BlackRock, technology has always been at the core of what we do – and today, our technologists continue to shape the future of the industry with their innovative work. We are not only curious but also collaborative and eager to embrace experimentation as a means to solve complex challenges. Here you’ll find an environment that promotes working across teams, businesses, regions and specialties – and a firm committed to supporting your growth as a technologist through curated learning opportunities, tech-specific career paths, and access to experts and leaders around the world.

Job description

About this 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

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.

Our 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.

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.


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.

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.
Job Requisition #
R264808
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BlackRock Principles

We look to hire people that will embody our BlackRock Principles:

  • We are a fiduciary to our clients.

    This is the bedrock of our identity; it reflects our integrity and the unbiased advice we give our clients.

  • We are One BlackRock.

    We work collaboratively to create the best outcomes for our clients, our firm and the communities where we operate.

  • We are passionate about performance.

    We are relentless in innovating and finding better ways to serve our clients and improve our firm.

  • We take emotional ownership.

    We have a deep sense of responsibility to our clients and to each other.

  • We are committed to a better future.

    We are long-term thinkers, focused on helping people build a better tomorrow.

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Career path

We recognize that our technologists benefit from a tailored approach to navigating and advancing their careers in the ways they envision. Our tech career paths are specifically built to support vertical and horizontal trajectories – including Enterprise Leadership (team manager) and Tech Leadership (individual contributor) ‘tracks’ as well as various other career moves.

  • Engineer I (Analyst)
  • Engineer II/III (Associate)
  • Senior Engineer I/II (Vice President)
  • Lead Engineer
    (Vice President)
    Engineering Team Manager
    (Vice President)
  • Principal/Sr. Principal
    Engineer (Director)
    Engineering Team Director/ Sr. Engineering Team Director
  • Managing Director
    Managing Director
  • TECH
    LEADERSHIP
    ENTERPRISE
    LEADERSHIP

Benefits

We care about your overall well-being and design our benefits package to support you in various aspects of your life.

  • Financial well-being

    We offer resources designed to help you build a sound financial future for you and your family, like retirement savings plans and tuition reimbursement.

  • Pay for performance

    Our pay-for-performance philosophy includes a base salary and a discretionary annual bonus.

  • Physical well-being

    Our healthcare plans and resources help you focus on your physical health, so you and your family can feel your best.

  • Emotional well-being

    We support our people's mental health and emotional well-being by providing access to an Employee Assistance Program and a network of Mental Health Ambassadors.

  • Life management

    You'll be able to focus on moments that are important to you with benefits designed to support life in and outside of work with Flexible Time Off, parental leave and more.

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