AVP, Fraud Strategy Data Analytics – Deposits

Synchrony

Fraud Strategy Data Analyst at Synchrony analyzing data trends to prevent fraudulent activities in the Consumer Bank. Collaborating with partners to refine fraud strategies and ensuring compliance with regulations.

Posted 4/24/2026full-timeStamford • California, Illinois, New York, Utah • 🇺🇸 United StatesLead💰 $115,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

CloudPythonSQLTableau

About the role

Key responsibilities & impact

Conduct in-depth analysis of transactional and customer data to identify unusual patterns and potentially fraudulent activities
Participate in discussions with business partners to define the CB fraud risk appetite
Participate in periodic fraud risk assessments for CB products and services
Assist in developing, implementing, refining, monitoring and providing performance tracking of CB fraud strategies to minimize CB fraud risk
Collaborate with business partners on new CB product or service approval
Assess and monitor the extent to which fraud strategies adversely impact customer experience
Develop new fraud strategies to mitigate threats posed by emerging fraud trends in the industry
Collect, process, and manage large sets of data related to customer transactions and interactions
Provide reporting on fraud analytics performance, such as fraud KPI and/or KRI reporting or SLA reporting, to senior management
Work closely with the IT and security teams to implement effective data analysis tools and systems
Proactively research and identify areas of opportunity for improvement, working closely with the Credit and Fraud Operations team to identify recent fraud patterns, trends, and rings
Ensure all activities adhere to legal and regulatory requirements as well as internal risk management requirements related to fraud and data privacy
Complete required fraud strategy documentation and meet audit standards

Requirements

What you’ll need

5+ years of experience in an analytics role
Bachelor’s degree in Data Analytics, Statistics, Finance, etc. (alternatively, 7+ years of experience in an analytics role can be substitute for a degree)
Experience in leveraging cloud data and analytics services
Minimum of 5 years of experience in data analysis, preferably in a banking or financial services environment
Minimum of 5 years of experience in fraud detection or related areas
Proficiency in data analysis tools and software, such as R, Python, SQL, Excel, or SAS, with a minimum of 5 years of experience
5 or more years of advanced SAS programming experience
5 or more years of experience in an analytics, modeling, quantitative role
5 or more years hands-on Python programming experience
Ability to create complex queries, joining data across multiple tables or views
Ability to provide work on performance tuning queries and ML models
Ability to use data visualization and reporting tools (e.g.,Tableau, Power BI) for trend analysis and reporting with at least 5 year of practical application
Strong analytical and problem-solving skills
Excellent communication skills, both written and verbal
Ability and flexibility to travel for business as required

Benefits

Comp & perks

flexibility to work from home or office
in-person engagement activities for regular business or team meetings
training and culture events

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Hard Skills & Tools

data analysisfraud detectionSAS programmingPython programmingSQLRExceldata visualizationperformance tuningmachine learning

Soft Skills

analytical skillsproblem-solving skillscommunication skills