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Financial Risk Program Manager 16801285
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PenFed Credit Union —McLean, VA
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Enterprise Risk Management (ERM) Senior Consultant (TS/SCI Required)
Kearney & Company —Springfield, VA
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- CPA
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Freddie Mac —McLean, VA
- $126,000 - $190,000 a year
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Quantitative Risk Analysis Tech Lead (Single-Family Business)
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PenFed Credit Union —McLean, VA
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Manager, Credit Risk and Policy Analytics
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Risk Assessment Analyst - Top Secret
Gridiron IT Solutions LLC —Alexandria, VA
- $90,000 - $140,000 a year
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Risk Manager jobs near Chantilly, VA

Quantitative Analytics Tech Lead (Multifamily business)

Freddie Mac -
McLean, VA

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Job Details

Full-time
$144,000 - $216,000 a year

Qualifications

Financial model development
Credit risk assessment
Consumer lending analysis in risk and credit
Research
Mortgage industry
SQL
Credit risk modeling
Data analytics tools
Python
Database software proficiency

Full 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 Enterprise Risk Management Division is currently seeking a Quantitative Analytics Tech Lead to join the Enterprise Model Risk Department. The Enterprise Model Risk Department is responsible for model risk oversight. This Quantitative Analytics Tech Lead will be a member the MF model validation team. The main responsibility of the team is to provide oversight and manage risks associated with the use of models in Freddie Mac's Multifamily business. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

The team is responsible for validation of models for the Multifamily business and related corporate functions, including related model risk management activities throughout the model life cycle.

Your Impact:

Effectively interact with model developers, users, business stakeholders, and model governance team to manage model validations, including operational management of associated model risk processes, and ensure compliance with Model Risk Policy and Standards
Assess reasonableness of credit risk models used for Multifamily mortgages
Conduct research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs
Provide innovative, detailed and practical solutions to an extensive range of complicated modeling problems
Preparing documentation for the technical analysis and rationale through the model validation process to comply with model oversight and support model review for approval.

Qualifications:

PhD in Economics, Statistics, or a related quantitative field with at least 3 years of related post-graduate work experience related to model development or validation; or master's degree with at least 6 years of related experience.
Strong programming skills in Python and SQL. Experience working with large data sets and relational database Experience. Comprehensive knowledge of mortgage or consumer credit risk models and prepayment models.
Multifamily model development or Multifamily model risk validation experience highly preferred.

Keys to Success in this Role:

Deep curiosity to learn with critical thinking.
Strong verbal and written communication skills.
Ability to work under limited direction independently to identify issues and solve problems.

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 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 $144,000 - $216,000 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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Refine Your Search

Risk Manager jobs in Chantilly, VA

Quantitative Analytics Tech Lead (Multifamily business)

Director, Operational Risk (Fraud and Payments Risk)

Quantitative Analytics Tech Lead –Credit Risk Analytics

SVP Enterprise Risk Office

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