Founded in 1992, Cerberus is a global leader in alternative investing with approximately $65 billion in assets across complementary credit, private equity, and real estate strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong risk-adjusted returns for our investors. For more information about our people and platforms, visit us at www.cerberus.com.

Job Purpose:

Cerberus established our Residential Opportunities investment platform in 2008 to capitalize on opportunities to acquire distressed residential mortgage-backed securities following the Global Financial Crisis. Over the past decade, our Residential Opportunities platform has continued to build upon its expertise in residential debt and evolved to earn recognition as an innovator and market leader in securitizing performing residential real estate loans and investing in single-family rental real estate (SFRs).

Our Residential Opportunities strategies seek to maximize absolute return through a combination of capital appreciation and current income, investing primarily in mortgages, loans, and real assets, and leveraging our proprietary asset management platforms to enhance performance and drive value.

You will help the team expand into existing and new products by developing investment strategy, data analytics and proprietary models to forecast loan performance and activity across multiple products in Residential Mortgage and Consumer assets (autos, personal loans, student loans etc). You will partner directly with traders, quantitative programmers, and investment staff to build and execute the investment strategy that creates value for clients.

Responsibilities/Deliverables:

• Work closely with the investment team on developing investment thesis and execution strategy
• Develop quantitative analysis/models for data across RMBS/ABS/consumer assets such as personal/auto /student loans/solar loans
• Partner with traders, programmers, controllers, and risk managers
• Develop statistical models and analyze prepayment/default behavior for ABS and mortgage related assets
• Work on developing new products and risk models
• Manage monitoring and research related to mortgage model performance and the all-end implementation and testing of and research into the group’s internal and vendor pricing models

Key Requirements:

• 10+ years of experience working in an RMBS/ABS/mortgage prepayment and default modeling capacity
• Ideally Advanced degree (Masters/PhD) in Physics, Computer Science, Engineering, Mathematics or Statistic
• Strong preference for candidates with Sell-side or Asset management experience and direct familiarity with capital markets/portfolio management and deal structuring
• Strong understanding of securitized and structured products with background in both RMBS and ABS collateral and securities
• Experience in prepayment and default modeling and deal structuring
• Extensive experience managing large loan level and pool data. Demonstrated ability to manipulate and analyze large datasets, summarize and validate modeling hypothesis
• Experience with a programming language required (ideally Python and SQL)
• Experience in deploying models in production environment

The base salary for this position is expected to be between $200,000.00 and $275,000.00. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus, which is often a meaningful portion of the compensation package, and a robust benefits package.