Quantitative Analytics Tech Lead

Freddie Mac•McLean, VA

4d•$144,000 - $216,000

About The Position

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.

Requirements

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 mitigation
Strong analytical and problem-solving skills with a high level of attention to detail
Excellent analytics skills with investigation attention to detail.
Excellent presentation on complex concepts through visualization
Self‐motivated with minimum supervision, with the capability of managing multiple priorities and efficient in proposing solutions

Nice To Haves

Intellectual agility and interpersonal flexibility
Ability to translate complex statistical models and methodologies into simple business terms
Strong leadership, planning and communication skills
Ability to work with and collaborate across the team and where silos exist
Deep curiosity to learn about new trends
Ability to utilize data to help inform strategy and direction
Solid aptitude for solving problems, innovative and out of box problem solver

Responsibilities

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 decisions
Initiating 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 users
Developing 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 models
Guiding the appropriate modeling development in loan performance transition.
Participating in the development of an analytical framework for new initiatives
Building strong productive relationship with various stakeholders across 3 line of defenses