AVP, Model Development

Job Description:

Role Summary/Purpose:

This position will support quantitative predictive modeling/analytics for credit account management and collections for consumer and commercial products and serve as a predictive modeler/statistician for model development, model validation support, model deployment activities and ad-hoc analysis.

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:

• Design, develop, and execute the advanced predictive modeling for account management and collections

• Working with business partners and vendors for model design, development, implementation, validation and model governance requirements

• Create and maintain model documentation. Ensure adequate documentation and oversight for all owned deliverables.

• Manage the model risk management process including model validation, response to independent review questions and assisting in development of action plans to address model governance/validation findings

• Adhere to all model development procedures for modeling and monitoring

• Pull data from source systems utilizing SQL and/or SAS

• Keep pace with the latest developments in academia, regulatory environment, risk technology (vendor and in-house) and financial services industry in order to provide expert guidance to the business functions

• Conduct research and analyze new modeling or analytical methodologies and integrate them into the decision-making process

• Perform other duties and/or special projects as assigned

Qualifications/Requirements:

• Bachelor’s degree with emphasis in Statistics, Mathematics, Economics, Decision Science or other quantitative field and 5+ years of work related experience in a statistical modeling risk analytics position or, in lieu of degree, a high school diploma/GED and 9+ years of work-related analytic experience

• 5+ years of modeling experience in banking, financial or consumer analytics related industry

• 4+ years of experience programming with SAS, SQL

• 4+ years of statistical analysis and handling large amount of data

Desired Characteristics:

• Graduate Degree in a quantitative field (Finance, Economics, Engineering, Math/Stat, Decision Science or similar)

• Predictive analytics experience in banking or financial industry highly preferred

• Proficient in SAS programming including SAS Macro; SAS certification is a plus.

• Experience with python on data analysis and machine learning

• Experience with the application of regulatory requirements for Model Risk (e.g. SR 11-7/OCC 2011-12)

• Model Documentation with ability to explain technical items to non-technical people

• Hands-on data analytics, risk modeling and data management experience 

• Strong project management and execution skills 

• Excellent written, oral communication and problem solving skills

• Ability to work independently

Grade/Level: 11

The salary range for this position is 90,000.00 - 155,000.00 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 m