Quantitative Analytics Tech Lead

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:Are you curious and analytical? Do you thrive on working in a team environment? Are you looking for an inclusive company culture? Freddie Mac’s Single-Family Credit Analytics, Reporting and Decision Strategy group needs creative, forward-thinking individuals like you! We want to hire individuals who seek out complex business problems and develop viable solutions. The Quantitative Analytics Tech Lead position is responsible for ensuring the reasonableness and consistency of statistical models, analytics and methodologies used in decision making in the SF guarantee business.Our Impact:Our team is the business driver to a number of tier 1 models and processes. Our goal is to utilize all available models and tools to facilitate and optimize SF acquisition and profitability strategies.This is an increasingly critical role given the current mortgage and economic environment.Your Impact:Leading a cooperative effort among members of the team and collaborate with external stakeholders to provides timely, relevant, robust analyses to support credit and strategic decisionsInitiating and designing appropriate analytical approaches for a variety of business questions or scenarios presented regarding credit and regulatory capital. Guiding the robust developments on frameworks and tools that enable relatively quickly, deep understanding of relevant data, business background for managements and downstream usersDeveloping strategies to analyze and interpret output of models or analytic applications, with emphasis on understanding and evaluating the model structure, model drivers, and model performance. Plan, execute, and document analysis of complex financial modelsGuiding the appropriate modeling development in loan performance transition.Participating in the development of an analytical framework for new initiativesBuilding strong productive relationship with various stakeholders across 3 line of defensesQualifications:PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience.Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large datasets. Qualifying coursework may include statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.Demonstrated experience and expertise in credit risk modeling and risk mitigationStrong analytical and problem-solving skills with a high level of attention to detailExcellent analytics skills with investigation attention to detail.Excellent presentation on complex concepts through visualizationSelf‐motivated with minimum supervision, with the capability of managing multiple priorities and efficient in proposing solutionsKeys to Success in this Role:Intellectual agility and interpersonal flexibilityAbility to translate complex statistical models and methodologies into simple business terms Strong leadership, planning and communication skillsAbility to work with and collaborate across the team and where silos existDeep curiosity to learn about new trends Ability to utilize data to help inform strategy and directionSolid aptitude for solving problems, innovative and out of box problem solverCurrent 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 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 $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.Job SummaryJob number: JR17333Profession: Quantitative Analytics & Data