PhD Degree Required - Quantitative Analyst/Programmer, Mortgage Trading Desk (RMBS)
About The Position
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 Capital Management (CCM) is recruiting graduates of PhD programs to join our mortgage trading desk as a Quantitative Analyst/Programmer. You will work directly with trading desk to engineer and optimize data processing, model development, trading processes and interface developments. You will sit on the trading desk and provide insights to portfolio managers and the broader investment team. We seek a professional with a PhD degree in a quantitative field such as math/statistics, physics, mechanical/electrical engineering, or operations research.
Requirements
- PhD degree in science and engineering discipline, such as math/statistics, physics, mechanical/electrical engineering, or operations research
- Strong analytical and math skills
- Fluent in at least one programming language
- Experiences working with large data sets: SQL or python a plus
Responsibilities
- Explore and develop analytical tools to analyze large datasets of various asset classes including RMBS and asset-backed securities
- Work with traders/portfolio managers directly to implement and test various models
- Partner with other developers/programmers on the team on larger scale projects
- Participate in real time transaction-oriented projects
- Participate in various portfolio management projects, such as position and risk management systems
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
Number of Employees
501-1,000 employees
