Quantitative Analytics Professional

Freddie Mac; McLean (VA); On-site; USD 105,000 - 157,000; Full time

Job summary

Freddie Mac in McLean, VA is seeking a Quantitative Analytics Professional within the Models & Analytics team to design, code, and implement counterparty risk models (EAD/PD/LGD) supporting counterparty credit risk management across portfolios.

The role emphasizes exposure measurement driven by market factors and requires strong programming in Python and SQL, with familiarity in Java, C++, MATLAB, or SAS as a plus.

Qualifications

• Must have coursework or work experience developing and implementing financial models, with demonstrable knowledge in quantitative modeling and statistical analysis.
• Experience with market risk and mortgage-related modeling and analytics strongly preferred.
• Strong programming skills in Python and SQL. Familiarity with Java, C++, MATLAB, SAS is useful.

Responsibilities

• Design, code and maintain counterparty risk models (EAD/PD/LGD).
• Collaborate with Counterparty Credit Risk Management to model risks for various products.
• Design model enhancements to address AUAs and regulatory findings.
• Produce Performance Monitoring Reports and respond to stakeholder inquiries.
• Understand and comply with model governance and controls and liaise with governance teams.
• Partner with teammates to improve models and share knowledge.

Skills

Python

SQL

Java

C++

MATLAB

SAS

Education

Master's Degree in quantitative finance or related field

Job description

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview:

Freddie Mac's Investments & Capital Markets Division is currently seeking a Quantitative Analytics Professional within the Models & Analytics team to be responsible for the creation, development, and execution of analytic models in support of Counterparty Risk Management. The key focus is on exposure measurement driven by market risk factors for various products and counterparty types, but the tasks may also include counterparty credit risk exposure, LGD, and credit rating models. The position encourages continued learning and development across other modeling areas, such as market risk capital, operational loss forecast, prepayment and default, and rates and derivatives.

Our Impact:

Key focus of this job is thedesign, development, and implementation of counterparty risk models for a variety of financial institutions, with primary focus on Exposure at Default models. These models support multiple corporate and divisional objectives by providing key inputs into counterparty credit risk management, both at individual counterparty and portfolio levels.

Your Impact:

• Design, code and maintain consistent counterparty risk models (EAD/PD/LGD). Incorporate best practices while simultaneously accounting for the unique characteristics and risks of each financial institution.

• Collaborate with the Counterparty Credit Risk Management (CCRM) to gain in-depth understanding of various types of financial products (e.g. MBS, CMO, ARM, Whole Loans, Credit Risk Transfer, Insurers) in order to appropriately model unique associated risks

• Design and code model enhancements to address agreed-upon actions (AUAs) in response to findings from model reviewers, internal auditors, and regulatory examiners

• Design and produce Performance Monitoring Reports on a regular cadence, respond to inquiries from various stakeholders

• Periodically review and understand changes in relevant corporate policies, standards and procedures and act as a liaison in associated model implementation validation

• Understand and comply with all model controls related to models owned by the team

• Collaborate with the Divisional Model Governance team to ensure compliance with model governance standards

• Proactively partner with teammates and users to facilitate ideas and keep improving models

Qualifications:

• Master's Degree in quantitative finance, statistics or a related quantitative field

• Qualifying coursework may include – but not limited to – econometrics, statistics, mathematical programming, optimization, computational methods, simulation, mortgage-backed securities, derivatives pricing, fixed income and term structure of interest rates

• Must have coursework or work experience developing and implementing financial models, with demonstrable knowledge in quantitative modeling and statistical analysis

• Experience with market risk and mortgage-related modeling and analytics strongly preferred

• Must have strong programming skills in Python and SQL. Familiarity with other languages such as Java, C++, MATLAB, SAS useful.

Keys to Success in this Role:

• Strong programming skills

• Strong technical skills

• Strong analytical skills with orientation to detail

• Excellent verbal and written communication skills

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

Time-type:Full timeFLSA Status:Non-Exempt

This position has an annualized market-based salary range of $105,000 - $157,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.