Analytics and Strategy in Credit

<BE>STRATEGIC

Our Analytics and Strategy in Credit team connects customers to the products and services they need to reach their financial goals.

Analytics and Strategy in Credit is the gatekeeper to Synchrony. We perform the mission-critical work of deciding who is accepted for loans, how much credit we should extend to them and for how long.

What does this mean for you? When you join the Analytics and Strategy in Credit track, you’ll gain insight into the strategy, operations and growth of our business, as well as the broader industry.

Our challenge is complex: every business and consumer is different, and the marketplace and economic environment are constantly shifting. Yet, if we don’t get credit right, nothing else matters.

In this track you’ll gain experience in the following areas:


underwriting

managing loan portfolios,

mitigating fraud

Help clients achieve the right balance of growth and loss mitigation

develop and implement strategies

Understand the entire account credit lifecycle

impact of credit performance on the Profit & Loss Statement

Work closely with our Client partners

sophisticated probabilistic models

SKILLS YOU’LL DEVELOP

BUSINESS STRATEGY & MANAGEMENT

CREDIT & FRAUD STRATEGY

Portfolio Management & Underwriting

ADVANCED ANALYTICAL TECHNIQUES

SOFTWARE: SAS, PYTHON, MACHINE LEARNING, EXCEL, POWERPOINT

After the full-time program you’ll be ready for a role in:

 
 
• Data Analytics

• Strategy Analytics and Infrastructure

• Portfolio Credit Management

• Fraud Strategy and Analytics

• Authentication and Digital Strategies

• Underwriting

• …and more

What we look for in addition to minimum qualifications:

 
 
• Finance or accounting knowledge and experience

• Analytical skills

• Team player and great collaboration skills

• Intellectual curiosity

• A passion for learning

• Flexibility

• Ability to synthesize complex information

• Critical reasoning, problem-solving and creative thinking

• Prioritization and time management skills

• Software: SAS, Python, Machine Learning

Basic qualifications/requirements:

Bachelor’s degree in Accounting, Mathematics, Finance, Economics or relevant major

Excellent academic record – Minimum overall GPA 3.0 or higher

READY TO JOIN US?

We’re not currently accepting full-time applications, please check back later.