Quantitative Risk Analytics Lead Mortgage Credit Risk
Headquarters 4, United States
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Full Time Senior-level / Expert USD 146K - 218K
Freddie Mac
We are supporting America's homeowners and renters while serving as a stabilizing force in the U.S. housing finance system.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:Seeking a Quantitative Risk Analytics Lead to be part of a growing team of strategists and problem solvers on the Single-Family Credit Risk Analytics and Reporting team!
In this role you will be responsible for analytics, reporting, and the identification of emerging risks from our newly purchased loan portfolio are critical to Freddie Mac’s success and overall risk mitigation strategies.
You will also be responsibile for bringing together business partners and identify emerging industry trends in a fast-paced, exciting, and diverse work environment.
Our Impacts:Our division is responsible for keeping our finger on the pulse of the mortgages we buy and their performance, ensuring that they remain within the firm’s risk appetite
Your Impact:Apply sophisticated technical skills to provide deeper insights into credit risk trends through the use of traditional and non-traditional mortgage data.
Develop subject matter expertise knowledge about Freddie Single-Family data and the Seller/Servicer Guide and independently extract data to support analytics.
Provide expertise in exploring risk management frontier using machine learning and other sophisticated quantitative skills.
Enhance analytical bench-strength in the team by building subject matter expertise in risk models, statistical methods, credit policy, credit risk, business trends as well as technical data skills.
Maintain appropriate controls to ensure processes adhere to established standards.
Stay in sync with processes that are in place to provide awareness, monitoring and responses to address emerging risk or opportunities.
Degree in Statistics, Economics, Business, Mathematics, or Computer Science with 5+ years specific mortgage experience.
Minimum of 8+ years of relevant experience applying predictive modeling techniques or data analytics to large datasets is preferred.
5+ years of experience writing statistical or optimization programs to develop models, algorithms and/or to conduct data analytics on large data sets.
Proficiency in programming languages such as SQL (required), Python (preferred), SAS. Strong experience with Tableau, PowerPoint and/or Excel
Solid understanding of risk, credit, and the mortgage life cycle. Strong quantitative, analytical, and problem-solving skills.
Excellent quantitative, analytical, problem-solving, critical thinking and communication skills.
Good presentation skills both verbal and written.
Deep curiosity about new trends and topics in mortgage products and credit risk
Proven ability to analyze risk using quantitative and qualitative information in a time-sensitive environment, outstanding analytical, technical, and problem-solving skills.
Ability to self-teach new technical skills as needed.
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:ExemptFreddie 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 $146,000 - $218,000 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.Tags: Computer Science Credit risk Data Analytics Economics Excel Machine Learning Mathematics Predictive modeling Privacy Python SAS Security SQL Statistics Tableau
Perks/benefits: Career development Competitive pay Equity / stock options
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