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AVP, Credit Model Development (L11)

Synchrony -
Hyderabad, Telangana

Apply Now

Job details

Benefits

Work from home

Qualifications

SAS
Tableau
SQL
Bachelor's degree
Machine learning
Regression analysis
Fraud prevention and detection
Communication skills
Employee evaluation
Python
Workday
Time management

Full job description

Overview

Location: Hyderabad, India; Delhi, India; Bengaluru, India; Mumbai, India; Kolkata, India
Salary: N/A

About Us

Synchrony is more than a financial services company, we’re a team of passionate innovators committed to delivering best-in-class solutions that support millions of customers across the U.S. With a bold focus on technology, data, and digital innovation, we create meaningful experiences that simplify lives and enable financial wellness.

When you join Synchrony, you become part of an inclusive culture where your voice matters, your growth is championed, and your work drives impactful results.

Job Description

Job ID

2602285

Category

Credit & Risk

Date posted

08/31/2026

Role Title:AVP, Credit Model Development (L11)

Company Overview:

Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most. Leveraging innovative solutions that are shaping the future of retail commerce, Synchrony supports the growth and success of some of the nation’s most respected brands, alongside hundreds of thousands of small and midsize businesses, including health and wellness providers. Committed to excellence in service and culture, Synchrony is proud to be named as #3 as a Great Place to Work® in India and is honored to be ranked the #1 Best Company to Work For® in the U.S. by Fortune magazine and Great Place to Work®. For more information, visit www.synchrony.com.

Organizational Overview:

Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviors. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives.

Role Summary/Purpose:

As a member of ACQ Credit Models team, you would be managing the Acquisition Credit models through their lifecycle, i.e. from initiation to retirement. You will be exposed to activities ranging from (but not limiting to) model development, evaluation, validation, monitoring, implementation testing and documentation. You will have an opportunity to learn industry best practices in credit models’ development and will also be working on experimental models using machine learning techniques. You will also own the models and be a SPOC for all assessment by Risk Management team.

Key Responsibilities:

Validation and monitoring of internal and external credit models by computing standard metrics.
Work closely with Model Owners, Model Users and Report execution teams to track and understand model performance, deep dives to find root causes for performance deteriorations.
Independently manage end-to-end annual model review and periodic revalidation activities for credit risk models; support Model Risk Management team in completing other model governance activities, including pre-implementation validation and issue remediation/closure.
Develop credit risk models under the guidance of the US model development team, performing work across the full development lifecycle (data preparation, exploratory analysis, feature engineering, model builds, performance evaluation, and documentation).
Work with Credit & Fraud strategy teams to understand the model usage in strategies, explain the changes in model performance and suggest any changes that might be required in strategies.
Lead automation projects like automation of reports, datapull using tools like SAS, Python, Pyspark, Tableau etc.
Work independently with stakeholders on multiple projects and perform other duties and/or special projects as assigned.
Provide analytic support on key business initiatives and develop a strong working knowledge of the data warehouse and applicable analytic data systems.
Mentoring and leading the junior members in the team for day-to-day activities

Required Skills/Knowledge:

Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 5+ years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 7+ years' of relevant experience in an analytical/quantitative role related to consumer lending.
Experience in SAS/ SQL, Python/Pyspark and reporting tools like Tableau
Knowledge of Statistical and other Machine Learning techniques like logistic Regression, Random Forest, XGBoost etc
Ability to decipher complex data and effectively present and communicate in a clear and concise manner.
Strong written/oral communication skills, ability to manage multiple projects simultaneously and deliver results within deadlines with a focus on accuracy and attention to detail.

Desired Skills/Knowledge:

Working knowledge of credit bureau data e.g., FICO, Transunion, Equifax
Excellent time management with ability to manage multiple competing initiatives and deliver results within deadlines.
Familiarity with US Model Governance trends/developments across the banking sector and credit policies in the area of credit cards

Eligibility Criteria:

Bachelor's degree with quantitative underpinning (i.e., Risk, Economics, Finance, Mathematics, Statistics, Engineering) with minimum 5+ years' experience in an analytical/quantitative role related to consumer lending or in lieu of a degree 7+ years' of relevant experience in an analytical/quantitative role related to consumer lending.

Work Timings: 2:00 PM to 11:00 PM IST

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may periodically due to business needs)
We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR.
Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in person engagement activities such as business or team meetings, trainings, and culture events.

For Internal Applicants:

Understand the criteria or mandatory skills required for the role, before

ing
ing for any role on Workday
Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)
Must not be any corrective action plan (Formal/Final Formal)
L9+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.
for this opportunity.

Grade/Level: 11

Job Family Group:

Credit

Apply Now

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