Director Credit Risk

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times. We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve.

As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team. If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!

The Director, Credit Risk is responsible for portfolio analytics, business performance reporting/initiatives, and business unit support for the Risk Management organization within Regional Management. This position will utilize advanced skills to develop strategies to drive growth in our consumer portfolios that are within RM’s risk targets. The Director will deliver rigorous analytically derived recommendations driven from detailed understanding of risk and reward dynamics across RM’s lending products.

• Day‑to‑day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies and communicating with stakeholders to ensure we deliver the best possible customer experience while meeting loss rate targets.
• Proactively monitor credit exposure, and provide recommendations and approvals to breaches in the credit process.
• Leverage credit risk data experience and business acumen to observe key trends / threats / inaccuracies and drivers of those observations.
• Identify areas of opportunity and spearhead initiatives to enable profitable growth while minimizing credit risk exposure.
• Identify business opportunities.
• Run credit tests to optimize risk strategies, balancing risk, and return.
• Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
• Quantitative analysis of custom score models including validation, ongoing performance monitoring, and documentation.
• Forecast performance of marketing campaigns and track actual campaign performance versus the forecast.
• Conduct ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
• Handle data while utilizing interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
• Interact with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS/R/Python and ultimately deliver a final insightful recommendation to stakeholders.

• Bachelor’s degree in Statistics, Data Analytics, Economics, Math, or similar.
• 6+ years of consumer finance, risk analytics, or relevant experience.
• Experience in data mining, modeling, and analyzing analytic findings using SAS/R/Python.
• Advanced programming skills in SAS/R/Python and SQL.
• Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must).
• Must pass pre‑employment screenings.

• Experience in Financial Services with consumer credit data utilizing SAS/R/Python.
• Experience analyzing marketing data in a financial environment.
• Experience developing risk models for a financial institution.

• Excellent oral and written communication skills; especially the ability to explain complex analyses in easily understood terms.
• Excellent organizational skills with the ability to prioritize and handle multiple tasks and responsibilities simultaneously.
• Utilize appropriate analysis, judgment and logic when solving problems and making decisions.
• Demonstrated ability to apply complex financial and statistical principles.
• Effective written and verbal presentation…