Synchrony
VP, Credit Model Development - PayPal Credit
Synchrony, Alpharetta, Georgia, United States, 30239
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.
Our Way of Working
We're proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.
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
Qualifications/Requirements:
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.
Grade/Level: 12
The salary range for this position is
135,000.00 - 230,000.00
USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
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 18 months' time in position before they can post. All internal employees must consistently meet performance expectations 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 expectations).
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.
Our Commitment:
When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.
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
Job Family Group:
Credit
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.
Our Way of Working
We're proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.
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
Qualifications/Requirements:
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.
Grade/Level: 12
The salary range for this position is
135,000.00 - 230,000.00
USD Annual and is eligible for an annual bonus based on individual and company performance.
Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.
Salaries are adjusted according to market in CA, NY Metro and Seattle.
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 18 months' time in position before they can post. All internal employees must consistently meet performance expectations 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 expectations).
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.
Our Commitment:
When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.
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
Job Family Group:
Credit