Position Overview:

You will have every opportunity to identify continuous improvements in model governance and risk reporting in a fast-paced, highly intellectual, mission focused organization. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

• Our team is responsible for managing model governance risk across SF Models.

Your Impact:

• Implement Inherent Management guidelines and other risk management policies for SF Models to reduce the risk associated with models

• Provide oversight and review of action plans for all SF MRAs and audit findings; ensure completion of the action plans in a timely manner.

• Partner with management to evaluate the progress on risk assessments and remediation of key issues. Facilitate the overall improvement of internal control structures.

• Raise material breaches of applicable laws, rules, advisory bulletins, policies, or standards with actual or potential impact.

• Assist management in resolving corrective action for such breaches. Coach employees on risk management activities and sound model development practices.

• Partner with the Governance Team to serve as another subject matter authority regarding model policies, standards, and procedures.

• Make presentations to management and staff on industry and regulatory related news and developments.

• Work with the Governance Team to provide management and/or affected business divisions with summaries, operational and regulatory risk assessment reports, trending, and remedial or mitigation solutions.

• Staying updated on regulatory (FHFA) policy changes and ensuring the organization’s operational risk management practices are compliant, while assisting in regulatory examinations and internal audits as needed

• Working proficiency on Governance, Risk and Compliance (GRC) Tools such as Bwise.

Qualifications:

The ideal candidate will be a risk management professional in financial services industry (preferably in mortgage finance) with:

• Doctorate degree with three years of experience or Master degree with six years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field.

• Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, or computer programming to large data sets. Qualifying coursework may include—but is not limited to—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, or Monte Carlo methods.

• Coursework or work experience writing statistical or optimization programs to develop models and algorithms. Programming languages may include—but are not limited to—SAS, Python, R, SQL, Java, or MATLAB.

• Superior knowledge and understanding of model-related policies, standards and procedures.

• Outstanding knowledge in understanding the modeling development life cycle.

• High level of knowledge of the financial models.

• Expert discernment regarding cost / benefit analysis in resolving remediation plans and agreed upon action plans.

• Sophisticated knowledge of applicable regulations and industry standard methodologies.

• Significant experience handling multi-faceted projects simultaneously that have cross-departmental impact

• Shown ability to plan, organize, and effectively complete risk mitigation and operational improvement initiatives.

• Outstanding communication and negotiation skills Shown ability to influence management decision making.

• Expert skill maintaining accuracy with attention to detail and meeting deadlines.

• Expert skill using innovative thinking to solve problems and facilitate the decision-making process.

Keys to Success in this Role:

• Exceptional quantitative and analytics skills

• Strong knowledge of statistical models, tools and techniques

• Strong programming skills

• Strong communication skills

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

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities 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.

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 time

FLSA 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 $140,000 - $210,000 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.