Data and Analytics

VP, Data Science

Locations: Alpharetta, GA, US | Alpharetta, GA, US | Altamonte Springs, FL, US | Altamonte Springs, FL, US | Canton, OH, US | Charlotte, NC, US | Charlotte, NC, US | Chicago, IL, US | Chicago, IL, US | Cincinnati, OH, US | Cincinnati, OH, US | Costa Mesa, CA, US | Costa Mesa, CA, US | Dallas, TX, US | Kansas City, KS, US | New York, NY, US | New York, NY, US | Saint Paul, MN, US | Stamford, CT, US | | Stamford, CT, US

Job ID: 2501200

Job Description:

Role Summary/Purpose :

This position, within the Decision Management team, is highly technical and focuses on supporting critical strategies and decisions throughout the consumer and commercial account lifecycle. The role requires significant experience in model validation (second line) and aims to bridge the gap between model development and the risk management framework. The ideal candidate will ensure that business objectives are seamlessly aligned with the risk management framework.

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:

  • Lead, grow and retain a strong team Of data scientists

  • Lead model projects working closely with vendors and/or cross-functionally

  • Utilize deep insights from previous second line experience to enhance risk identification, assessment, and response strategies within first line activities.

  • Foster a proactive risk management culture within the first line teams, enabling them to understand, anticipate, and mitigate risks efficiently.

  • Ensure the team has the right tools, processes and agile principles in place to deliver work that is on time and to specification

  • Partner with multiple business stakeholders and cross-functional teams to design, develop, and execute advanced statistical and non-statistical solutions

  • Drive best in class go-to-market big data modeling and analytics within Analytics by leveraging a broad stack of technologies — Python, H20, Machine Learning, SAS and more

  • Act as the primary liaison for multiple cross functional stakeholders managing competing project deliverables in a fast paced and ever-changing business environment

  • Partner with Synchrony leadership to drive strategic initiatives both inside the function and cross functionally

  • Drive optimization and efficiency initiatives to support reduced cycle time

  • Oversee the creation and maintenance of required documentation for all owned deliverables

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

  • Participate in regulatory reviews as required

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

  • Perform other duties and/or special projects as assigned

Qualifications/Requirements:

  • Bachelor’s degree with emphasis in Statistics, Mathematics, Economics, Decision Science, Operations Research or other quantitative fields OR, in lieu of degree, a high school diploma/GED and 15+ years of work-related analytics experience

  • A minimum of 12+ years of progressive work experience to include:

    • 5+ years of experience managing a team or influencing stakeholders

    • 6+ years of experience in the banking or financial services industry

    • 3+ years of experience in model validation for second line

    • 5+ years of experience programming with SAS, SQL, Python, or other relevant languages

    • 5+ years of experience in project management

Desired Characteristics:

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

  • Direct experience with the application of regulatory requirements for Model Risk (e.g. SR 11-7/0CC 2011-12)

  • Experience applying agile principles in a data science environment

  • Strong leadership skills to drive change and results

  • Strong influencing skills

  • Self-motivated, positive attitude takes ownership and initiative to identify and solve problems

  • Strong time management skills, ability to work independently, multi-task and quickly respond in a dynamic environment

  • Demonstrated written/verbal communication & the ability to convey complex topics to a wide variety of audiences

  • Experience using and successfully implementing Al/Machine Learning concepts

  • Experience in software applications and database management, i.e. Excel, Word, Access, PowerPoint

Grade/Level: 14

The salary range for this position is 150,000.00 – 250,000.00 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 a diverse, inclusive culture where your skills, experience, and voice are not only heard—but valued. We celebrate the differences in all of us and believe that our individual, unique perspectives is what makes Synchrony truly a great place to work. Together, we’re building a future where we can all belong, connect and turn ideals into action. Through the power of our 8 Diversity Networks+, with more than 60% of our workforce engaged, you’ll find community to connect with an opportunity to go beyond your passions.

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.

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:

Data Analytics