AVP, Product Engineer - AML
Not Disclosed•Full-TimeHybrid
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
We are seeking a highly skilled AML Product Engineer to join our team and take ownership of the development, enhancement, and maintenance of Anti-Money Laundering (AML) products. The ideal candidate will bridge the gap between software engineering and regulatory compliance, working closely with cross-functional teams including compliance, data science, and product management. Your mission is to build effective AML solutions that detect and prevent financial crimes, ensuring our systems remain scalable, reliable, and audit-ready.
In this role, you will translate complex AML rules and regulatory requirements into technical specifications. You will collaborate with data scientists to implement machine learning models for enhanced detection of suspicious activities and continuously refine workflows to improve product performance. This position is designed for a proactive problem-solver who thrives in an agile environment and is eager to innovate within the financial crime landscape.
At Synchrony, we are proud to offer flexibility. Our way of working allows you the option to work from home near one of our Hubs or come into one of our offices. Occasionally, you will be required to commute to your nearest Hub (either virtual or physical) for in-person engagement activities such as regular business or team meetings, training, and culture events.
When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.
We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require a reasonable accommodation to apply for a job or to perform your job, please contact our Career Support Line at 1-866-301-5627 (8am – 5pm Monday to Friday, Central Standard Time). Representatives are available to discuss your specific situation regarding changes to the application process, alternate document formats, sign language interpreters, or specialized equipment.
Legal authorization to work in the U.S. is required for this position. We will not sponsor individuals for employment visas, now or in the future. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Additionally, candidates must be willing to take a drug test, submit to a background investigation, and submit fingerprints as part of the onboarding process, and must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.
Work model: Hybrid
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Understanding of machine learning/AI applications in AML. Exposure to ETL tools like Ab initio.
Skills: Java, Python, C#, Actimize Sam, CDD, Star, Bsa, Fatf, Ofac, SQL.
Education: Bachelor's degree in Computer Science, Engineering, or related field required; Master's degree in Computer Science, Engineering, or related field required; High school diploma or equivalent required for eligibility.