Principal Data Science - Consumer Credit Oversight

Discover. A brighter future.

With us, you’ll do meaningful work from Day 1. Our collaborative culture is built on three core behaviors: We Play to Win, We Get Better Every Day & We Succeed Together. And we mean it — we want you to grow and make a difference at one of the world's leading digital banking and payments companies. We value what makes you unique so that you have an opportunity to shine.

Come build your future, while being the reason millions of people find a brighter financial future with Discover.

Responsible for working closely with management to execute analytical initiatives in support of the oversight of consumer credit risk across Discover’s lending products (including credit card, personal loans, student loans and home loans) within the overall Corporate Risk Management framework and system.

Responsible for thought leadership & strategic thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. This position will closely monitor credit performance metrics and Risk Appetite/Key Risk Indicators to ensure goals are met and correct the course as necessary.

Responsibilities

• Provides thought leadership & strategic thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis.

• Collaborates with cross-functional partners to understand their business processes, formulates and completes end-to-end analysis as part of consumer credit risk oversight review that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective credit performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement analytics to drive consumer credit oversight enhancement and optimization.

• Leads the development and implementation of advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Lead the development of Analytical capabilities with the aim of creating long-term strategic data/analytics assets for the company.

• Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information.

• Develops and automates reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs.

• Consistently follows standard work processes and documentation requirements. Recommends improvement to work processes to increase efficiency while maintaining quality of work. Continuously improves technical and leadership skills through training and development.

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelor’s degree in Analytics, Engineering, Statistics or related field

• 6+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

Preferred Qualifications

If we had our say, we’d also look for:

• Master’s Degree in Analytics, Engineering, Mathematics, Statistics or related field

• 4+ years of experience in Credit Risk, Fraud Risk, Marketing Analytics, Optimization, Operations Analytics, Modeling/Data Science or related field

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What are you waiting for? Apply today!

The same way we treat our employees is how we treat all applicants – with respect. Discover Financial Services is an equal opportunity employer (EEO is the law). We thrive on diversity & inclusion. You will be treated fairly throughout our recruiting process and without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status in consideration for a career at Discover.