Private Asset Market Risk Modeler

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, and 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 covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. 

We are looking to hire 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. 

The Private Asset Market Risk team builds a range of models, including private equity, real estate, credit, infrastructure, and hedge funds, with sophisticated econometric/statistical methods and tools.

These models have real practical value and have a very large footprint of usage across the entire Aladdin client base including portfolio managers, risk managers, and allocators and influence investment activity. 

As a result, we place special emphasis on developing models that scale with our growing Analytics’ business and ensuring adherence to BlackRock’s rigorous standards of model governance. 

This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. 

This person is expected to join as an individual contributing to the 

design and development of our private market risk models, particularly in the private credit (i.e., real estate debt, infrastructure debt) space. 

About the role

• Develop private credit risk factor models and back test, document, and guide new models and methodologies through validation. 

• Collaborate with partner teams on model productionization 

• Build and maintain model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations 

• Communicate (verbally and in writing) with internal stakeholders and external clients on the design, backtesting, and usage of the models. Discuss model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations 

About you

• Extensive experience in quantitative field / statistical modeling. Experience with one or more of the following is preferred: risk factor models and analytics, domain knowledge of fixed income securities, applications of ML/AI techniques.   

• Master’s or PhD degree in a quantitative discipline or one that relates to application of quantitative techniques in finance (financial engineering, math finance, etc.). Master’s degree with 5+ years or PhD degree with 3+ years of experience.  

• A strong background in data-driven quantitative research, econometrics, and empirical asset pricing 

• Hands-on experience with statistical modeling through software (e.g., Python, R) and strong background in programming.  Proficiency with Python is required 

• Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models 

• Knowledge of investments, portfolio management is preferred 

• Experience with any version control system (e.g., git) is strongly preferred  

• Prior work experience in financial modeling (e.g., risk models, analytics, pricing/valuation models) or data science and model deployment to production environment is a plus 

• Resourcefulness and strong problem-solving skills even in the face of constraints, limited options, or uncertainties  

• Ability to work effectively with a team of highly motivated individuals 

• Time and project management skills 

• Proven track record of guiding junior talent 

• Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment 

• Excellent communication and presentation skills 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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.

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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 Employer.  We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.