Financial Risk Analyst

Summary:

The Financial Risk Analyst will play a key role in enhancing the organization’s risk management framework, with responsibilities spanning enterprise risk assessment, model risk governance and advanced analytical modeling. This position bridges enterprise risk management (ERM) and model validation, ensuring robust oversight of financial and operational risks through data-driven insight, quantitative rigor, and regulatory compliance.

This is an on-site position based at the Plano, TX headquarters.

Essential Duties & Responsibilities (including but not limited to):

Quantitative Risk Oversight

• Lead the enhancement of quantitative risk measurement frameworks across credit, market, liquidity, and capital risk stripes
• Maintain and upgrade analytical tools and dashboards for monitoring Risk Appetite Metrics, Key Risk Indicators (KRIs), Key Performance Indicators (KPIs) and emerging risk trends
• Collaborate with business units to quantify exposures, forecast potential losses and assess the effectiveness of risk mitigation programs.

Model Validation & Governance

• Perform independent validation of models used for pricing, capital, liquidity and operational risk.
• Apply robust statistical and econometric techniques to test model performance, including benchmarking, back-testing and sensitivity analysis.
• Review model documentation for completeness, accuracy and compliance with internal standards and regulatory guidance
• Identify model weaknesses, limitations and data quality concerns, proposing remediation actions to stakeholders
• Support periodic performance monitoring to ensure models remain fit for purpose and aligned with business needs

ERM Support & Reporting

• Support the enhancement of the ERM framework, risk appetite statements and governance processes
Prepare and deliver risk analysis reports for senior management, risk committees and regulatory reviews

Qualifications (Education, Computer Skills, Experience, Certifications, Etc.):

• 2 to 3 years of experience in financial risk analysis, model validation, or enterprise risk management within the financial services or related industry
• Familiarity with regulatory requirements and best practices in model risk management.
• Bachelor’s degree in Mathematics, Statistics, Finance, Economics, Engineering or a related quantitative discipline required
• Master’s degree (or equivalent) preferred
• Strong analytical and quantitative skills with a deep understanding of statistical methods, data analysis and forecasting techniques.
• Proficiency in Python, R, SAS, SQL or similar statistical tools for data manipulation and model analysis preferred
• Advanced proficiency in Microsoft Excel, Power BI and other reporting tools
• Excellent written and verbal communication skills, with the ability to translate technical findings into actionable insights for non-technical audiences
• Strong attention to detail, critical thinking and problem-solving ability
Ability to manage multiple priorities in a dynamic, fast-paced environment