PhD Degree Required - Quantitative Analyst/Programmer, Mortgage Trading Desk (RMBS)

Cerberus Capital Management, L.P.; New York (NY); On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Annual discretionary bonus

Robust benefits package

Job summary

Cerberus Capital Management, L.P. is seeking a Quantitative Analyst/Programmer for their mortgage trading desk. The role involves developing analytical tools for large datasets, working closely with traders on model implementation, and participating in portfolio management projects.

Candidates must hold a PhD in a related field such as math or engineering, possess strong analytical skills, and be proficient in at least one programming language. The compensation package includes a competitive base salary ranging between $140,000 and $215,000, along with an annual discretionary bonus.

Qualifications

• PhD degree in a science and engineering discipline.
• Strong analytical and mathematical skills.
• Fluent in at least one programming language.

Responsibilities

• Develop analytical tools for large datasets.
• Work with traders to implement and test models.
• Participate in real-time transaction-oriented projects.

Skills

Analytical skills

Mathematical skills

Programming languages proficiency

Education

PhD degree in a relevant field

Tools

SQL

Python

Job description

Job Purpose

Cerberus Capital Management is recruiting graduates of PhD programs to join our mortgage trading desk as a Quantitative Analyst/Programmer. You will work directly with the 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.

Responsibilities & Deliverables

• 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

Key Requirements

• PhD degree in a 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

Compensation & Benefits

The base salary for this position is expected to be between $140,000.00 and $215,000.00. The base salary offered to the chosen candidate will be commensurate with the 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.