Quantitative Analytics Senior – Multifamily Model Governance (Hybrid- 3 Days in Office)

Freddie Mac

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

Position Overview:

We are seeking a Quantitative Analytics Senior to be part of the Multifamily (MF) Division Model Governance (DMG) team within the operational risk function in Multifamily. This role will support key business partners (including the modeling team, business model owners and model users) in managing model risk and performing required governance activities in accordance with the model risk policy, standard, enterprise model governance guidance and related modeling procedures in throughout a model life cycle.

Apply now to learn about our fantastic benefits and why there is #MoreatFreddieMac

Our Impact:

  • Drive execution of model governance activities throughout the model life cycle
  • Play a key role in ensuring compliance with model risk governance and regulatory requirement
  • Act as a trust advisors for our business and model partners as we proactively support them with governance activities throughout a model life cycle

Your Impact:

The Quantitative Analytics Senior is responsible for the following:

  • Align with the Corporate Model Risk Policy and associated Standard(s)
  • Collaborate with the Manager to develop and implement divisional model governance processes and procedures that meet corporate requirements and create a risk-aware culture
  • Contribute to efforts to mature model governance capabilities and find opportunities to innovate, streamline and reduce inefficiencies
  • Proactively work with Model Business Owners, Model Development Owners, and other relevant collaborators in the division on model risk-related activities
  • Manage model change pipeline and ensure timely UAT and implementation
  • Provide support to the model stakeholders during 2LOD oversight activities, Internal Audit exams and FHFA exams
  • Collaborate with relevant partners and divisional governance teams to conduct gap assessments of applicable corporate policies/standards and applicable legal/regulatory obligations
  • Work with model collaborators and provide model related insights to the GBS Risk & Control team during quarterly Risk & Control Self Assessments
  • Periodically complete model governance related controls and assist in providing model related artifacts during control and SOX testing
  • Proactively assist model partners in timely remediating issues and 2LOD findings
  • Work with collaborators and Manager to design and produce regular model related reporting
  • Undertake ad-hoc projects as needed

Qualifications:

  • Doctorate degree (or Master's degree with equivalent work experience)
  • in quantitative finance, statistics or a related quantitative field.
  • 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—statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
  • Understanding of MF model governance, and three lines of defense risk framework
  • Understanding and experience with operational risk management, covering the full lifecycle of activities, including risk identification, assessment, mitigation, monitoring, and reporting
  • Exceptional organizational skills and can independently lead a project/assignment
  • Strong attention to detail with an analytical approach
  • Self-starter with a positive outlook and a desire to continuously improve
  • Excellent written and verbal communication skills

Keys to Success in this Role:

  • Positive, can-do attitude
  • Diligent, with strong problem-solving and communication skills
  • Ability to work under pressure and collaborate across teams
  • Curiosity to learn and adapt to changes

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 $125,000 - $187,000 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.

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Confirmed 4 hours ago. Posted 4 hours ago.

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