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BlackRock

Private Asset Market Risk Modeler, Vice President

London
Posted 2 days ago
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Private Asset Market Risk Modeler, Vice President

Senior Quant Modeler (VP) – Private Asset Market Risk Modeling

About This Role

Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin’s financial models.

This group is also accountable for:

  • Analytics production
  • Enhancing the infrastructure platform
  • Delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community)

The models developed and supported by AFE span a wide array of financial products, including:

  • Equities
  • Fixed income
  • Commodities
  • Derivatives
  • Private markets

AFE provides investment insights ranging from analysis of cash flows on a single bond to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise.

We are hiring a Senior Quant Modeler (VP) to join our Private Asset Market Risk Modeling team to drive the development of risk factor models for private market investments within the following spaces:

  • Private equity
  • Real estate
  • Credit
  • Infrastructure
  • Hedge funds

The Private Asset Market Risk team builds sophisticated econometric/statistical models and tools with real-world practical value, widely used across the entire Aladdin client base (portfolio managers, risk managers, and allocators) and influencing investment activity.

This role places emphasis on:

  • Developing scalable models aligned with BlackRock’s rigorous model governance standards

Responsibilities

As a Senior Quant Modeler, your responsibilities will include:

  • Developing private credit risk factor models, including backtesting, documentation, and guiding new models and methodologies through validation
  • Collaborating with partner teams on model productionization
  • Building and maintaining model governance controls, which include:
    • Model performance monitoring
    • Model documentation
    • Model remediation
    • Supporting both internal and external client model validations
  • Communicating (both verbally and in writing) with:
    • Internal stakeholders
    • External clients on the design, backtesting, and usage of models
  • Regular discussions on model performance, investigating exceptions, diagnosing issues, and conducting corrective remediations

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

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Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Requirements

Core Qualifications

  • Extensive experience in quantitative research or statistical modeling, with a focus on:
    • Risk factor models and analytics
    • Fixed income securities (domain knowledge preferred)
    • Applications of ML/AI techniques
  • Master’s degree or PhD in a quantitative discipline, such as:
    • Financial engineering
    • Math finance
    • Related application of quantitative techniques in finance, with:
      • Master’s with 5+ years of experience
      • PhD with 3+ years of experience
  • Strong background in data-driven quantitative research, econometrics, and empirical asset pricing
  • Hands-on experience with statistical modeling, including:
    • Python (proficiency required)
    • R or other relevant software tools
  • Experience with data handling and processing:
    • ETL (Extract, Transform, Load)
    • Joining data with SQL
    • Data cleaning, summarization, and descriptive analysis
    • Building and backtesting statistical/econometric models
  • Preferred: Basic knowledge of investments and portfolio management
  • Strong experience with any version control system (e.g., git, strongly preferred)
  • Prior roles showcasing financial modeling, such as:
    • Risk models
    • Analytics
    • Pricing/valuation models
    • Data science
    • Model deployment to production environment
  • Proven ability to solve complex problems under constraints and in uncertain environments
  • Strong teamwork and collaboration skills with highly motivated teams
  • Experience guiding junior talent to success
  • Excellent communication and presentation skills
  • Hybrid work readiness with strong time and project management skills

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Benefits

  • Flexible work environment (currently requiring at least 4 days in-office for new hires)
  • Comprehensive employee benefits including:
    • Retirement investment tools
    • Education reimbursement
    • Comprehensive physical and emotional well-being resources
    • Family support programs
    • Flexible Time Off (FTO)
  • Supportive work culture and a wide array of offerings for employee development

About BlackRock

At BlackRock, our mission is to help more and more people achieve financial well-being. Through our clients and their investments, we:

  • Strengthen the global economy
  • Support small and large businesses
  • Facilitate infrastructure projects
  • Drive innovation and progress

We believe our investment in our employees is the foundation of this mission. Here, we foster an environment where everyone is:

  • Welcomed
  • Valued
  • Supported
  • Encouraged to thrive through networks, benefits, and development opportunities

Learn more about BlackRock at Careers.BlackRock.com and connect with us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock commits to equal opportunity and evaluates candidates based on merit without regard to protected characteristics.

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Skills

Quantitative Research
Statistical Modeling
Risk Factor Models
Machine Learning
Programming
Data Handling
Model Governance
Econometrics
Empirical Asset Pricing
Python
SQL
Project Management
Communication
Team Collaboration
Problem-Solving
Model Validation

Location

London, England, United Kingdom

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