Senior Credit Office Risk - Dallas, TX, United States - Freddie Mac

Description

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.

Come join our growing team of strategists and problem solvers on the Single-Family Credit Risk Analytics, Reporting, and Technology team (the ART team).

Analytics, reporting, and the identification of emerging risks from our loan portfolio are essential to Freddie Mac's success.

This role will enable our Risk Appetite Monitoring and Forecasting processes via the maintenance, enhancement and creation of our analytical data ecosystem and tools.

The individual will demonstrate skills that span the entire data analytics life cycle, from understanding the requirements and needs of our risk practices, to implementing vital technical tools and solutions.

The ART team provides monitoring, analytics and reporting of credit risk for our newly purchased loan portfolio. The work products from ART help set our Single-Family risk appetite.

We also assist Credit Policy in evaluating credit expansion initiatives, provide tools for our internal partners to assess performance of counterparties, and support monthly reporting on emerging risks.

ART keeps a finger on the pulse of the mortgages we buy and their performance, ensuring that they remain within the firm's risk tolerance.

Lead Development efforts to enhance our Python applications and ETL tools to support Risk Forecasting and Risk Limit Setting activities.

Apply sophisticated technical skills to lead the development of new ETL, Data Models, Controls, and supporting metadata to enable analytics across a number of domains within the credit risk space: credit policy analytics, New Loan Acquisition Risk Appetite, Client Analytics, and Emerging Risk Detection.

Develop and maintain new ETL pipelines using Informatica, SAS, Python, and Alteryx tools.
Support Testing, Controls and Documentation of our analytical data engineering processes and activities.
Develop SME knowledge about Freddie Single-Family data and independently extract data to support analytics.
Bachelor's Degree in Quantitative Finance, Statistics, Mathematics, Economics or a related quantitative field (Master's Degree preferred) and 5+ years of relevant experience
3+ years of Python/ETL Development experience is required
Usage of data engineering tools such as SAS/R to support analytics and visualization are preferred
Strong experience with Tableau and/or Excel is preferred
Solid grasp of risk, mortgage credit risk, and the mortgage life cycle is preferred
Deep curiosity about new trends and topics in credit risk, with the ability to self-teach new technical skills as needed
Self starter that enjoys relationship building and challenges the status quo

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.

If interested in learning more, please visit and register with our referral code:
MAC.
Full time