Job Information

Synchrony VP, Credit Model Development - PayPal Credit in STAMFORD, Connecticut

Job Description:

Role Summary/Purpose:

Synchrony’s exciting partnership with PayPal and Venmo will provide unprecedented opportunities in the model risk management area to develop and deliver credit, fraud, and marketing models for these major portfolios. Working closely with PayPal/Venmo team, we will further enhance the underwriting, account management, fraud and marketing strategy through Advanced Data/Analytics in order to continue to compete and win in the rapidly evolving lending space. We are looking for an innovative and naturally curious VP, PayPal and Venmo Credit Models who will play a central role in working with PayPal/Venmo to deliver on Incremental Data/Advanced Analytics projects.

We are looking for a candidate who has business acumen, takes ownership, is passionate about developing innovative solutions, and has experience in big data environments, computer programming, Hadoop, Spark, Python, SAS, etc. The successful candidate will have excellent communication & project management skills, strong model development experience and good understanding of model risk. The role will be responsible for hands-on model development to support credit acquisition, account management, fraud detection and marketing process.

This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. We’re proud to offer you choice and flexibility.

Essential Responsibilities:

  • Work closely with PayPal/Venmo team to independently manage and build credit risk and fraud framework and models.

  • Work on data collection, data cleansing, methodology evaluation, model assessment and validation.

  • Use statistical modelling techniques such as Machine learning, logistic regression, decision trees to build models

  • Analyze and explore datasets in order to find opportunities through data analytics

  • Conduct detailed analytical work with a high level of accuracy to deliver quality result to senior management.

  • Ensure Fair Lending/Legal compliance and approvals for each model.

  • Liaison cross functionally plus with PayPal/Venmo team and regulators as needed

  • Manage model inventory for PayPal/Venmo models (model development, validation, remediations, decommission status, etc.)

  • Maintain comprehensive model documentations needed to meet regulatory requirements.

  • Assist in managing model testing process including implementation specifications development, model testing plan development, and test plan execution to ensure model appropriately implemented and produce output as designed.

  • Manage model monitoring process, analyzing the root cause of any material shift and optimizing performance metrics.

  • Manage validation & audit requests, and draft responses for model development and validation related questions.

  • Manage/update Model development procedures and conduct Model update calls with PP/Venmo Senior Leadership Team

  • Perform other duties and/or special projects as assigned


  • Master’s degree in Mathematics/Statistics/Financial Engineering or other quantitative field with 3+ years of experience in Credit Risk / Financial Industry, or in lieu of a degree, 8+ years of experience in Credit Risk / Financial industry

  • 4+ years of hands-on modeling experience with Credit/Fraud Scorecard using various machine learning techniques

  • 4+ years working with large data sets

  • 4+ years hands on programming skills (SAS/SQL/R/Python etc.)

Desired Characteristics:

  • Ability to work cross functionally

  • Excellent written and verbal communication skills

  • Excellent understanding of modeling methodologies such as Machine Learning, Logistics Regression, Decision Trees.

  • Excellent analytical skills

  • Multitask in a fast-paced environment while influencing and making judgment calls.

  • Good understanding of model risk management, credit risk and fraud strategy controls

  • Technical proficiency with SAS, SQL, R, Python, Hadoop, Spark etc.

  • Technical proficiency with MS Office applications

  • Quick learner, detail oriented, strong analytical and problem-solving skills.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months’ time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 24 months’ time in position before they can post. All internal employees must have at least a “consistently meets expectations” performance rating and have approval from your manager to post (or the approval of your manager and HR if you don’t meet the time in position or performance requirement).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am – 5pm Monday to Friday, Central Standard Time.

The salary range for this position is 85,000.00 - 170,000.00 USD Annual

Salaries are adjusted according to market in CA and Metro NY and some positions are bonus eligible.

Grade/Level: 12

Job Family Group:

Risk Management