AVP, Fraud Detection, Analysis and Technology

E2500148-14

Role Summary/Purpose

The AVP, Fraud Detection, Analysis and Technology is part of the, Fraud Detection and Analysis Team tasked to drive growth through the detection and related reduction of internal and external fraud risks. The AVP, Fraud Technology, Analysis and Technology will be part of a multi-faceted team in operating fraud technology solutions which will assist company fraud teams in identification, investigation, mitigation and prevention of fraud. This role requires highly skilled analysts with understanding of fraud technology and investigations to identify and investigate complex fraud matters.

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

• Fraud investigation and detection background with strong understanding of fraud trends within financial/card industry, technology systems, analytics and investigations.
• Knowledge of systems to include; Data storage, Operational systems and processes, fraud strategies (including acquisition, authentication, transactional, payment, check kiting, investigative processes, internal fraud) and related regulatory requirements and laws impacting these processes.
• Works cross functionally to achieve Special Investigations Team (IT) and Credit Risk goals regarding stated initiatives
• Regularly interact with SIT Field Investigators and Analysts, Fraud/Credit Risk Teams and , Analytics and technology teams in supporting the efforts to identify fraud, fraud actors and rings.
• Through the use of NEO4J and other Synchrony SIT tools, operationalize and execute detective strategies to identify internal and external fraud impacting Synchrony. Actions include light Cypher coding required for executing Linkurious queries, assisting in identification of analytical rules, and translation of analytical results for escalation to SIT investigators and Fraud Strategy teams.
• Assist investigators and strategy teams in detecting and researching anomalies within the card and bank platforms
• Utilize the Neo4j platform and advanced analytics, to assist in the development and implementation of sophisticated strategies to provide early identification of fraud patterns
• Assist in conducting analytical investigations through the review and analysis of NEO4J and Linkurious, creating comprehensive reports and detailing key elements of the analysis.
• Assist in the identification of fraud threats or trends targeting Synchrony Bank with the goal of proactively preventing loss to the Bank.
• Work with Law Enforcement (SIT) analysts and investigators, Fraud technology and Analytics teams to Identify intelligence to establish analytics rules to create linkage analysis with our case management tools.
• Assist in the identification of emerging fraud threats or trends to Synchrony Bank
• Coordinating cross-functionally with Fraud Strategy and Authentication, AML/BSA, and other groups on addressing identified issues.
• Review various system alerts and intel to identify emerging fraud threats or trends to Synchrony Bank with the goal of proactively preventing fraud losses.
• Perform other duties and/or special projects as assigned
  
  

Qualifications/Requirements

• Bachelor's degree with minimum of 24 months in corporate, law enforcement/ government fraud investigations with an emphasis on conducting analysis; or; in lieu of Bachelor's Degree, a minimum of 5 years of fraud analysis and investigations in government/financial services or banking
• 2 years Fraud investigations experience leveraging data to identify trends and rings
• Minimum 6 months experience using SAS, SQL, or similar.
  
  

Desired Characteristics

• Working knowledge of Fraud detective technology tools and experience leveraging industry standard toolsets / frameworks such as Cypher, Splunk, SPL, Tableau and/or SIEM
• Understanding of analytical tools and compilation of data. Re: SAS, ODS queries, data warehouse queries
• Understanding of Analytics, machine learning and Graph data science
• Highly analytical, detail-oriented, and strong problem solving with a common sense approach to resolving problems
• Strong Project management and Communication skills
• Expertise to clearly define complex issues despite incomplete or ambiguous information
• Demonstrates ability to succeed in fast-paced environment with ability to adapt to change.
• Highest level of Professional integrity and the ability to maintain confidentiality
• Strong analytical, and creative problem-solving skills.
• strong interpersonal and verbal communication skills
  
  

Grade/Level: 11

The salary range for this position is 110,000.00 - 185,000.00 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.