Role Summary/Purpose:
As a Consumer Bank ("CB") Fraud Strategy Data Analyst, you will be integral to our efforts in identifying, analyzing, and preventing fraudulent activities within the bank. You will utilize your analytical skills and knowledge of banking processes to analyze data trends, flag suspicious activities, and contribute to the development of fraud prevention strategies. You will also drive the CB fraud strategy analysis and refinement.
Our Way of Working:
We're proud to offer you 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.You will be required to commuteto your nearestHub (either virtual or physical) for in-person engagement activities such asregularbusiness or team meetings, training and culture events.
*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.
Essential Responsibilities:
Fraud Analysis:
- Conduct in-depth analysis of transactional and customer data to identify unusual patterns and potentially fraudulent activities.
Strategy Development:
- 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.
Data Management:
- Collect, process, and manage large sets of data related to customer transactions and interactions.
Reporting and Communication:
- Provide reporting on fraud analytics performance, such as fraud KPI and/or KRI reporting or SLA reporting, to senior management.
Collaboration:
- Work closely with the IT and security teams to implement effective data analysis tools and systems.
- Provide input and apply analytics expertise to improve CB fraud engine and related controls/tools.
- 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.
Compliance:
- 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.
- Work with key stakeholders on model risk management
- Perform other duties and/or special projects as assigned.
Qualifications/Requirements:
- 5+ years of experience in an analytics role in addition to a 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
Desired Characteristics:
- 5+ years of experience working with regulators and/or internal auditors
- Experience with using machine learning for fraud data analytics
- Experience in project management and working in scaled agile teams
- Experience with presenting technical content to senior management and executives who do not possess a technical background
- Experience with vendor management
Grade/Level: 11
The salary range for this position is 115,000.00 - 200,000.00 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.
Our Way of Working:
We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work fr