Mid-Level Real Estate Credit Risk Analyst

USAA•San Antonio, NC

1d•Hybrid

About The Position

USAA is seeking a Mid-Level Real Estate Credit Risk Analyst to support the development, implementation, and monitoring of credit strategies for Mortgage and Home Equity portfolios. This role utilizes quantitative analysis to identify credit risk, optimize profitable growth within established risk appetite, and monitor portfolio performance trends. The analyst will evaluate internal and external factors affecting portfolio results, identify root causes of changes in key performance metrics, and recommend data-driven underwriting and account management strategies to improve portfolio performance while mitigating operational and compliance risk. The ideal candidate has strong expertise in SAS and SQL, along with experience using automation tools such as VS Code and Python to analyze and communicate insights. Candidates should have experience managing consumer credit risk, recommending strategy changes for originations and existing accounts, and estimating probability of default, loss given default, and risk adjusted return. Success in this role requires the ability to translate complex data into actionable recommendations and effectively present findings and strategic insights to executive-level audiences. We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position can be based in one of the following locations: San Antonio, TX, Plano, TX, Phoenix, AZ, Colorado Springs, CO, Charlotte, NC, or Tampa, FL. Relocation assistance is not available for this position.

Requirements

Bachelor's degree in Business Management, Finance, Economics, Engineering, or Mathematics; OR 4 years of relevant education and/or experience.
Experience in an analytical field or work focused on leading analytical projects, advanced analytics, and risk assessments such as analyzing and interpreting complex bank credit risk data and credit or financial analysis activities, and/or driving activities that support consumer credit risk strategy; OR an advanced degree in Business Management, Finance, Economics, Engineering, or in a Mathematical discipline and 2 years of experience in an analytical field or work focused on leading analytical projects, advanced analytics, and risk assessments.
Mortgage banking or real estate lending industry experience.
Understanding of banking regulations, risk and/or compliance.
Strong presentation and communication skills.
Good business acumen and attention to detail and accuracy.
Strong research, investigation skills and demonstrated good judgement in problem solving.
Strong knowledge of Microsoft Office products, particularly Excel, Word, and PowerPoint.
Strong knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (e.g., SPSS, Python, R or Visual Basic).
Knowledge of federal laws, rules, regulations, and applicable guidance to include: FCRA, Reg B, UDAAP/UDAP, OCC Heightened Standards, OCC CREDIT RISK GUIDANCE, HMDA/REG C, TILA/REG Z, RESPA/REG X, FDPA, ECOA/Reg B, SCRA, BSA/AML, GLBA/REG P, Complaints.

Nice To Haves

Proven track record of identifying emerging credit risks, challenging assumptions, and independently analyzing portfolio performance drivers across large consumer lending portfolios.
Experience building strong partnerships with Risk, Finance, Modeling, Product, and Operations teams to support effective risk management and business decisions.
Prior experience in an analytical role supporting Mortgage, Home Equity, or Consumer Lending products.
Demonstrated initiative in improving reporting, analytics, and risk monitoring processes, with a focus on continuous improvement and delivering measurable business value.
Experience using modern analytical tools such as Python, SAS, and VS Code to identify portfolio trends, investigate risk drivers, and develop scalable analytical solutions.
Strong critical thinking and problem-solving skills, with the ability to translate complex data into actionable insights and recommendations.
Excellent communication and presentation skills, including experience presenting analytical findings to leadership and cross-functional stakeholders.
US military experience through military service or a military spouse/domestic partner

Responsibilities

Applies industry leading practices and analytical skills to identify risks and opportunities within the managed portfolio and translates results into strategic solutions with the delivery of credit risk strategies.
Applies critical thinking skills to synthesize analyses, identify root causes, and develop clear and concise recommendations to drive credit risk strategy development and influence senior decision makers.
Assists in delivering Bank credit risk strategies across lines of defense by effectively driving analytical projects through analysis of data and processes and clearly communicating insights/recommendations to key stakeholders and leadership
Applies industry knowledge and competitive benchmarking to inform credit strategy development.
Utilizes quantitative analysis based upon internal and external data sources to bring structure and clarity to challenging problems.
Develops and presents comprehensive risk and financial reporting in support of senior management and committee oversight of existing and emerging risks and escalates the quality and direction of credit performance to appropriate levels of management.
Performs complex financial risk sensitivity analysis.
Creates requirements to support the management of credit strategy infrastructure and ensures credit strategies are implemented as intended.
Applies programming and analytical techniques to analyze credit data.
Provides support for junior team members regarding analytics and risk management.
Collaborates with key stakeholders to guide & facilitate teams in the development and implementation of key initiatives.
Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.