Job Title: Analyst, Data Science, RMBS
Company: Cerberus Capital Management
Location: New York, NY
Description:
**This role is posted on behalf of one of Cerberus Capital Management's portfolio companies based in NYC




About Cerberus




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.




About FirstKey Homes




With more than 50,000 single-family rental homes in 28 desirable markets nationwide, FirstKey Homes is committed to help our residents find the space they need, the privacy they want and the peace of mind they deserve. To accomplish this, we offer an unmatched resident experience, caring communication and an industry-leading loyalty program, FirstKey Homes Rewards, to give our residents more of what they need to love where they live.




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.




As an Analyst in the Residential Opportunities team, you will help the team expand its analytic and modeling capabilities across all aspects of the SFR strategy, from analyzing hard asset and capital markets transactions to supporting operational excellence. Using the team’s tailored data, you will be expected to create reports, model asset performance, and support research projects. You will partner directly with portfolio managers, data scientists, and leaders in our proprietary property management platform to build and execute on investment and operational strategies that create value for clients.







Responsibilities:

Data Analysis Expertise: Analyze structured and unstructured data related to residential real estate and property management operations to uncover and display insights that inform investment decisions.
Strategic Problem Translation: Skillfully translate business scenarios and investment ideas into succinct data problems. Seamlessly align business objectives with appropriate cost functions, demonstrating an acute understanding of available data nuances.
End-to-End Project Ownership: Manage the end-to-end delivery of success criteria, data, algorithms, statistical models, and reporting tools. Your adeptness will ensure efficient problem-solving and the realization of desired outcomes.
Financial Acumen Development: Demonstrate a proactive approach to expanding knowledge in investing and real estate fundamentals, leveraging analytical skills to explore market trends and financial concepts.
Autonomous Multitasking: Exhibit self-reliance and autonomy while remaining deeply engaged across multiple concurrent projects, showcasing your ability to thrive in a dynamic environment.
Team Synergy: Collaborate seamlessly with fellow team members, lending your skills to group projects and promoting a cohesive and productive team dynamic.
Flexibility and Initiative: Embrace the opportunity to tackle ad-hoc projects, showcasing your adaptability and proactive approach in addressing unforeseen challenges.




Qualifications:

0-2 years of work experience or planning to graduate in May 2025 with a degree in Engineering, Computer Science, Information Systems, Data Science, Mathematics, or related fields
Experience with Python required; familiarity with SQL preferred
Demonstrated ability to manipulate and summarize large datasets
Highly motivated with excellent attention to detail and organizational skills
Effective communication skills and ability to work within a team










The base salary for this position is expected to be between $80,000.00 and $110,000.00. 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.

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