Fraud Prevention Analyst I
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?
Please note: this is a full-time role with a hybrid schedule in the location posted.
Current and/or future sponsorships are not available for this position.
Responsibilities
• 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
• Will work directly with clients, supporting fraud products and overall fraud needs
• Design and implement new internal and external Fraud reports
• 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
• Working independently, as well as with team members
Requirements
• Advanced working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in SQL and Excel (3-5+ years of experience preferred)
• Possess a strong understanding of internal business segment (stakeholders) and presentation skills
• Experience in relational database structures, research methods, sampling techniques and system testing
• Are a go-getter, are self-directed and able to work independently
• Advanced data mining experience
• Familiar with BI tools (Hyperion, SAS, Python, Tableau, etc)
• Analytical mindset and love to crunch data
• Excellent communication skills both verbally and written
Nice-to-haves
• Fraud background preferred (data driven/data analytics)
• Bilingual in Spanish
Benefits
• Opportunities to innovate in fintech
• Tools for personal and professional growth
• Inclusive and diverse work environment
• Resources to invest in your community
• Competitive salary and benefits
Apply tot his job
Apply To this Job
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?
Please note: this is a full-time role with a hybrid schedule in the location posted.
Current and/or future sponsorships are not available for this position.
Responsibilities
• 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
• Will work directly with clients, supporting fraud products and overall fraud needs
• Design and implement new internal and external Fraud reports
• 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
• Working independently, as well as with team members
Requirements
• Advanced working with large-scale business data sets, fluent in scripting and rapid prototyping skills including expertise in SQL and Excel (3-5+ years of experience preferred)
• Possess a strong understanding of internal business segment (stakeholders) and presentation skills
• Experience in relational database structures, research methods, sampling techniques and system testing
• Are a go-getter, are self-directed and able to work independently
• Advanced data mining experience
• Familiar with BI tools (Hyperion, SAS, Python, Tableau, etc)
• Analytical mindset and love to crunch data
• Excellent communication skills both verbally and written
Nice-to-haves
• Fraud background preferred (data driven/data analytics)
• Bilingual in Spanish
Benefits
• Opportunities to innovate in fintech
• Tools for personal and professional growth
• Inclusive and diverse work environment
• Resources to invest in your community
• Competitive salary and benefits
Apply tot his job
Apply To this Job