Consumer Credit Risk Manager I
Coastal Community Bank
JavaScriptPythonSQL
Lead Analytics Consultant
Wells Fargo
full-time
Posted on:
Origin: • 🇺🇸 United States • Arizona, Iowa, North Carolina
Visit company websiteSalary
💰 $110,000 - $179,000 per year
Job Level
Senior
Tech Stack
OraclePythonSQL
About the role
- Maintain a set of AML Transaction Monitoring models across the Wells Fargo business and compliance structure.
- Lead critical efforts to identify and develop new tools, controls, and processes to modernize the AML transaction monitoring program and support both financial crime and data-related policies.
- Collaborate with cross-functional teams, including front office business and companywide functions, on the transaction monitoring program including priorities and strategies.
- Provide analytical support regarding a wide array of business initiatives in the Financial Crimes space.
- Partner with business and technical groups to design, lead, and implement analytic solutions.
- Implement and/or maintain program compliance with all corporate model risk requirements.
- Ensure adherence to legal regulations and company policies on all projects managed.
- Communicate with peers, managers, corporate model risk, internal audit, Financial Crimes Investigations, and product managers.
Requirements
- 5+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.
- Proficiency in SAS, SQL, and/or Python.
- Experience in model ownership including development, implementation, and maintenance, preferably within financial crimes or corporate risk.
- Experience with statistical modeling, machine learning algorithms for financial institutions’ transaction monitoring controls.
- Experience or familiarity with the Oracle AML product.
- Demonstrated experience supporting BSA, AML, or sanctions monitoring systems for global multi-channel financial institution. CAMS certification a plus.
- Master's degree or higher in a quantitative field such as applied math, statistics, engineering, physics, economics, econometrics, computer sciences, or business, social and behavioral sciences with a quantitative emphasis.
