Sr Analyst, Credit Risk Mgmt

About the role

Join our dynamic Credit Risk Management team as a Senior Analyst, and together, we'll conquer new challenges! At our core, we believe in a collaborative approach, and as a key player in our team, you'll find yourself wearing multiple hats.

Responsibilities

• Handle substantial data sets, extract valuable insights, and present clear, actionable recommendations.
• Engage actively in projects, from generating innovative ideas to contributing to the development and implementation stages.
• Apply statistical segmentation techniques to identify new opportunities.
• Perform sophisticated qualitative and quantitative analysis of credit policies to ensure financial goals are being attained.
• Develop predictive financial and analytical models using appropriate statistical methodologies, including trend and regression analysis.
• Participate and perform the analysis of new data and statistical products by external vendors.
• Extract, process, and transform data from multiple disparate sources; analyzing credit bureau data and alternative credit data.
• Deliver work output with full awareness and adherence to project timelines or agreed upon deadlines.

Requirements

• 5+ years of quantitative analytic modeling experience or comparable process management experience.
• Bachelor’s Degree in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree required.
• Basic proficiency in SQL, Python, R or other statistical software packages required.
• Outstanding computer skills in Excel, Word, PowerPoint required.
• Strong communication (spoken and written), organization, and presentation skills.
• Prior consumer risk management experience preferred.
• Wireless / Telecom experience.
• At least 18 years of age.
• Legally authorized to work in the United States.
• No travel required.
• No DOT regulated position.
• No safety sensitive position.

Qualifications

• Minimum Required: BA/BS in Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree.
• Desired: Graduate degree in a quantitative field a plus.
• Intermediate or higher proficiency in SAS or other statistical/analytical programming languages highly preferred.

Benefits

Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays, paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!