Senior Decision Analyst, Fraud Strategy in Charlotte, North Carolina
THE TEAM YOU WILL BE JOINING:
Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
Named one of the top three fastest-growing banking brands in the U.S. in 2020.
Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.
WHAT THEY OFFER YOU:
Fast paced, highly collaborative, teamwork-oriented environment
Make an immediate impact in this high visibility role
Excellent salary with bonus potential and generous benefits package
Top-notch leadership committed to developing people
Charlotte, NC - 100% remote for now, then will sit Hybrid (3 days in office, 2 days remote) when staff transitions back into the office after February.
WHAT YOU WILL DO
Establish processes to anticipate fraudulent customer behavior
Work collaboratively with fraud management organization and business units to reduce losses to the organization and ensure corporate objectives and all compliance requirements are met
Drive the Servicing strategic imperatives by maintaining regular communications with employees or vendor partners.
Perform sophisticated research and analysis to support fraud strategy and present findings to manager or project leader under general direction
Assist in drafting, interpreting, and coordinating operational policies and procedures
Develop, validate, and maintain fraud rules to mitigate losses due to fraud
Supervise performance to identify and help correct performance problems and provide feedback regarding areas requiring attention
Bring compliance issues and proposed solutions to the attention of manager or project leader
Participate in development of business cases to support fraud strategic initiatives.
HOW YOU ARE QUALIFIED:
2+ years of hands-on experience in working with large datasets, with a focus on turning business questions into insights
Master's degree in Data Analytics, Economics, Statistics, Mathematics strongly preferred
Bachelor's degree in Economics, Statistics, Mathematics, Finance, or similar field of study required
Proficiency in various database environment, such as Hadoop, Oracle or AWS and proven experience to extract data
Advanced SQL skills required
Python and R skills preferred
Hand-on intermediate to advanced Excel skills to perform ad-hoc data analysis as required
Knowledge of banking and/or financial services operations a plus