Senior Manager, AML Compliance
Flex
SQL
AVP, Fraud Detection, Analysis and Technology
Synchrony
full-time
Posted on:
Location Type: Hybrid
Location: Stamford • California, Connecticut, Illinois, Kansas, New York, Ohio, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $115,000 - $200,000 per year
Job Level
Lead
Tech Stack
Neo4jPythonSplunkSQLTableau
About the role
- Conduct fraud investigations and analyze fraud trends relevant to the financial card industry
- Maintain comprehensive knowledge of operational processes, fraud strategies (including acquisition, authentication, transactional, payment, check kiting, internal fraud), and applicable regulatory requirements
- Collaborate regularly with Law Enforcement Liaison Field Investigators (SIT Team), Analysts and Fraud/Credit/Cyber Risk teams to identify fraud actors and rings
- Utilize graph database (NEO4j) and other fraud detection tools to identify fraud rings and high risk accounts
- Utilize Cypher coding in NEO4j to execute data mining and analysis
- Support investigators and strategy teams by detecting anomalies within card and banking platforms through advanced analytics
- Perform detailed analytical investigations by reviewing NEO4J and Linkurious outputs, and prepare comprehensive reports highlighting key findings
- Coordinate cross-functionally with Fraud Strategy, Authentication, AML/BSA, and other departments to address identified fraud risks
- Review system alerts and intelligence feeds to monitor and detect new fraud trends and prevent losses
- Execute additional duties and special projects as assigned
Requirements
- Bachelor's degree with minimum of 24 months in fraud investigations with an emphasis on conducting analysis; or in lieu of Bachelor's Degree, a minimum of 5 years experience leveraging data and statistical tools to identify trends and business opportunities within a financial/banking risk related function
- 2+ years hands on complex fraud analysis or investigating large fraud cases
- Minimum 1 year experience using SAS, SQL, Python, Cypher or similar
- Working knowledge of Fraud detective technology tools and experience leveraging industry standard toolsets/frameworks such as Cypher, Splunk, Tableau
- Understanding of analytical tools and compilation of data. Re: SAS, ODS queries, data warehouse queries
- Understanding of Analytics, machine learning and Graph data science
- Experience leveraging fraud/risk statistical models and/or algorithms to identify outlier populations
- Strong Project management skills/experience
- Ability to clearly define complex issues despite incomplete or ambiguous information
- Highest level of Professional integrity and the ability to maintain confidentiality
- Graduate degree in Mathematics, Applied Statistics, or Data Science (desired)
- Legal authorization to work in the U.S. is required; will not sponsor employment visas
- You must be 18 years or older
- You must have a high school diploma or equivalent
- 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
Benefits
- Choice and flexibility with the option to work from home, near one of our Hubs or come into one of our offices
- Eligible for an annual bonus based on individual and company performance
- Salaries are adjusted according to market in CA, NY Metro and Seattle
- Provided tools and technology to grow your career
- Employee Resource Groups (ERGs) and an inclusive, award-winning culture
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
fraud investigationsdata analysisCypherSASSQLPythonmachine learninggraph data sciencefraud statistical modelsanalytical tools
Soft skills
project managementproblem solvingprofessional integrityconfidentialitycollaborationcommunicationanalytical thinkingattention to detailcritical thinkingadaptability