Fraud Prevention Analyst Senior

FIS•US WI MKE 4900, WI

21h•Hybrid

About The Position

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. Are you FIS? This is a full-time position with a required hybrid schedule in the posted location. Current and future sponsorship are not available for this position.

Requirements

Advanced skills in data manipulation, script-building, Excel, and SQL.
Strong understanding of internal business segment (stakeholders).
Strong understanding of working in complex corporate environments and ability to work with internal and external stakeholders to complete tasks.
Strong presentation skills and comfort with presenting to large audiences and executive-level stakeholders.
Experience in relational database structures, research methods, sampling techniques and system testing.
Go-getter, self-directed, and able to work independently.
Advanced data mining experience.
Several years of experience with BI tools (Hyperion, SAS, Python, Tableau, etc.).
Analytical mindset and a genuine interest in crunching datasets and delving into advanced research to discover trends.
Superior verbal and written communication skills.
Excellent organizational and time management skills; ability to complete quality work within strict timeframes and meet deadlines.

Nice To Haves

Fraud background preferred in data driven rule writing/rule design.
Bilingual in Spanish is a plus.
Master’s degree preferred.

Responsibilities

Provide strategy and analytical support exclusively to one client as part of a dedicated fraud analytics team.
Focus heavily on identifying, monitoring, and mitigating first-party fraud risk while balancing customer experience, operational efficiency, and fraud loss prevention.
Coach and mentor a team of Fraud Prevention Analysts in performing their daily duties and responsibilities, providing guidance, direction, and constructive feedback.
Work closely with Specialists (Team Leads) and Management.
Act as the go-to Subject Matter Expert (SME) on all things Fraud Analytics.
Analyze overall fraud metrics, identify, and report on emerging trends.
Test/Implement/Modify fraud strategies as appropriate.
Analyze fraud databases and report on operational performance.
Join fraud data with other data sources to derive end-to-end performance metrics for fraud.
Work directly with clients, supporting fraud products and overall fraud needs.
Design and implement new internal and external Fraud reports, with experience with report automation preferred.
Create and deliver presentations to clients with meaningful commentary on both past performance and future opportunities.
Collaborate with fraud management on special projects or requests.
Take ownership of work and proactively engage in identifying opportunities for improvement.
Respond to ad hoc requests for report building and data analysis.
Work independently, as well as with team members.
Complete other duties and responsibilities, as assigned.