Quantitative Analytics Senior

Freddie Mac; McLean (VA); On-site; USD 126,000 - 190,000; Full time

Job summary

Freddie Mac's Investments & Capital Markets Division seeks a Quantitative Analytics Senior to design, develop, and implement PD/LGD/EAD models for counterparty credit risk across a range of financial institutions. The role focuses on robust modeling, validation, and governance, supporting Freddie Mac's risk management framework and strategic objectives.

You will collaborate with the Counterparty Credit Risk Management Team, apply econometrics and predictive modeling techniques, and leverage

Qualifications

• Knowledge of econometrics modeling techniques.
• Strong quantitative, empirical analysis, and research skills.
• Coursework or experience applying predictive modeling to large data sets in finance or data science.
• Experience writing statistical/optimization programs in Python, SQL, R, or MATLAB.

Responsibilities

• Design, code and maintain counterparty credit risk models (PD/LGD/EAD).
• Incorporate best practices while addressing institution-specific risks.
• Collaborate with the Counterparty Credit Risk Management (CCRM) Team to model risks for various institutions.
• Design model enhancements to address AUAs and respond to findings from audits and reviews.
• Prepare quarterly performance monitoring reports and support model governance.

Skills

Python

SQL

Econometrics

Statistics

Communication

R

MATLAB

Java

Education

PhD in econ/fin/stats

Tools

SAS

MATLAB

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 Senior to be responsible for the creation, development, and execution of analytic models used to value Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) of various types of financial institutions.

The candidate should be self-motivated, have a strong computational background, and effective communication skills. Under the Models & Analytics team, the candidate will support models primarily utilized by Freddie Mac’s Counterparty Credit Risk Management Team. The key focus is on credit risk scorecard modeling, but the tasks may also include LGD and EAD models. The position encourages continued learning and development across other modeling areas, including market risk capital, operational loss forecast, prepayment and default, and rates and derivatives.

Our Impact:

Key focus of this job is the design, development, and implementation of counterparty credit risk models for a variety of financial institutions, with primary focus on Probability of Default modeling.

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 credit risk models (PD/LGD/EAD).
• These models must incorporate best practices while simultaneously accounting for the unique characteristics and risks of each financial institution.
• Collaborate with the Counterparty Credit Risk Management (CCRM) Team to gain in-depth understanding of various types of financial institutions (e.g. Mortgage Banks, Depository Institutions, 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.
• On a quarterly basis, design and run Performance Monitoring Reports, respond to questions from business users, model validation, audit, and model risk oversight.
• Periodically review and understand changes of relevant corporate policies, standards and procedures and act as a liaison in associated model implementation validation.
• Own other standard parts of modeling job such as understanding and complying with all official model controls related to models owned by the team.
• Collaborate with the 1st line Model Governance team in I&CM to ensure that counterparty models adhere to Freddie Mac’s model governance standards.
• Proactively partner with teammates and users to co-develop unique approaches and facilitate ideas.

Qualifications:

• PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.
• Demonstrated knowledge of Econometrics modeling techniques.
• Outstanding quantitative, empirical analysis, and research skills
• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets. Qualifying coursework may include—but is not limited to—econometrics, statistics, mathematical programming, optimization, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
• Coursework or work experience writing statistical and/or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—Python, R, SQL, and MATLAB.
• Strong Programming skills is a must! Python and SQL are most frequently used; other useful languages and software available in the company include Java, SAS, MATLAB, C.
• Experience with mortgage modeling and analytics preferred.

Keys to Success in this Role:

• Strong programming skills
• Strong technical skills (stats, math)
• Strong analytical skills with orientation to detail
• Good verbal and written communication skills

Current Freddie Mac employees please apply through the internal career site.

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.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

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.

This position has an annualized market-based salary range of $126,000 - $190,000 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.