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BlackRock

Quantitative Modeler, Associate - Securitized Products Modeling Team

Reposted 16 Hours Ago
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In-Office
New York, NY
138K-170K Annually
Mid level
In-Office
New York, NY
138K-170K Annually
Mid level

About this role

We are seeking an Associate Quantitative Modeler to join the team within Aladdin Financial Engineering (AFE) - Single Security. The team is responsible for the development, enhancement, and governance of models and analytics across a broad range of securitized products, including Agency MBS, Non Agency RMBS, CRT, MSR, CMBS/CRE, ABS/ABF, and CLOs, delivered on the Aladdin platform to internal portfolio teams and external clients. 

 

This role is ideal for a technically strong quantitative professional who enjoys research and building models, working with large datasets, and partnering closely with investment, risk, technology, and client teams to deliver high quality analytics at scale. 

 

Key Responsibilities 

  • Develop, enhance, and maintain securitized products models using econometric and machine learning/AI techniques. 

  • Collaborate with Data, Technology, Portfolio Management, Client, and Risk teams to ensure analytics meet business and client needs. 

  • Clearly communicate modeling frameworks, assumptions, and results to both technical and nontechnical audiences; support client discussions by explaining complex analytics and modeling concepts in a clear, intuitive, and practical manner. 

  • Perform rigorous validation of model inputs and outputs across development, implementation, and production environments. 

  • Play a key role in model risk management, controls, and regulatory compliance; own model performance monitoring frameworks and engage with governance forums. 

  • Identify opportunities to automate, streamline, and scale analytical and reporting processes across the modeling platform, enhancing monitoring and reporting workflows through the creative design of tools and applications, including modern AI enabled technologies. 

 

Qualifications 

  • 3-4 years of hands-on experience in quantitative model development and implementation. 

  • Strong quantitative background with a degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field. 

  • Proficient programming skills in Python, R (or equivalent); C++ familiarity is a plus. 

  • Strong communication skills and ability to explain complex analytics clearly. 

  • Experience with large datasets, production level analytics, or financial modeling platforms is a plus.  

  • Knowledge of securitized products is a plus but not required. 

For New York, NY Only the salary range for this position is USD$137,500.00 - USD$170,000.00 . 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.

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.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

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 [email protected]. 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.

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