Senior Data Risk Analyst

Description

Responsibilities :

• Lead the aggregation and analysis of customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for monitoring credit risk strategies and developing business intelligence.
• Responsible for self-driven analysis of large data sets (structured and unstructured) using next generation technologies, prepare analysis and reports to support discussions on key analytics and aspects to drive decision making.
• Assess, analyze, and interpret data outputs to develop usable and actionable information for the business channel leaders.
• Identifying and analyzing complex developments, variances, and trends within the portfolio and overall business operations.
• Communicating regularly with team members and business stakeholders results of findings and recommended action steps.
• Based on the findings, proactively provide a summary of the findings and actionable steps to multiple levels within the organization including Risk Management, Executive Management, and Sales Leadership teams.
• Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations to adjust credit policies and guidelines as needed.
• Monitor the performance & efficiencies of NewLane’s dealer and broker partnerships to identify areas for improved efficiencies and increased optimization, and act as a liaison between Credit & Sales to operationalize recommendations.
• Maintain current / develop new analytical reports and presentations for Senior Management, Executive Committees, and Regulatory Exams.
• Ability to create visualizations of data and / or quantitative information for management decisioning.
• Interpret business requirements and translate them into technical documentation for IT / third-party vendors.
• Must understand, abide, and uphold audit procedures and internal controls related to essential duties and responsibilities.

Qualifications :

• Bachelor’s degree in Business, Data Analytics or Finance, or other relevant discipline
• 3+ years of related experience required, preferably within commercial equipment financing or leasing industry.

Desired Characteristics :

• Ability to work independently as well as collaboratively within a cross-functional team.
• Strong organizational skills and attention to detail.
• Excellent verbal and written communication skills.
• Strong quantitative and analytical skills in statistical analysis and data science best practices
• Candidate should be self-motivated and possess a desire to learn.
• Demonstrated experience with business intelligence tools such as Tableau, Power BI, and / or Qlik.
• Experience with SQL programming language is preferred, but not required.

We offer a dynamic, collaborative team environment with a strong credit risk management culture and opportunities for professional development.

The successful candidate will receive competitive compensation, excellent benefits including Health, Dental, Vision, 401k) with match, flexible spending, Life Insurance, Short Term and Long-Term Disability Insurance, generous PTO, and much more

WSFS Bank is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the WSFS Bank Careers website or submission process, please contact us via email at

WSFS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.