FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing complex datasets to derive actionable insights in fraud risk management and financial services. Proficient in developing fraud detection models and reporting metrics while collaborating cross-functionally to enhance operational effectiveness.
Highest-signal resume keywords
Data AnalysisFraud Risk ManagementFraud AnalyticsKPI/KRI ReportingCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Descriptive AnalyticsPredictive AnalyticsPrescriptive AnalyticsFraud Detection ModelsOperational MetricsFraud TypologiesData InsightsProcess ImprovementAutomationFinancial Crime Data
Soft Skills
Analytical SkillsProblem-Solving SkillsBusiness AcumenWritten CommunicationInterpersonal Skills
Tools & Technologies
Fraud Detection SystemsAlert Management ToolsTransaction Monitoring Platforms
Industry Keywords
Financial ServicesFraud TrendsConsumer Credit IndustryBSA/AML OperationsRegulatory Reporting
About the role
Key responsibilities & impact- Analyze large, complex datasets to generate insights across credit performance, fraud trends, and portfolio risk using descriptive, predictive, and prescriptive analytics
- Support development and monitoring of fraud detection models, rules, thresholds, and segmentation strategies
- Design and deliver fraud and risk reporting, including KPIs/KRIs, fraud losses, alert volumes, investigation outcomes, SAR referral indicators, and operational effectiveness metrics
- Translate complex data into actionable, executive-ready insights
- Partner cross-functionally with Fraud and BSA/AML Operations, Compliance, Risk, Product, and Technology teams
- Identify fraud control weaknesses, alerting or investigation process breakdowns, and opportunities to improve detection, escalation, and resolution outcomes
- Analyze fraud alert and case lifecycle data to identify process inefficiencies, quality issues, and opportunities for automation or control enhancement
- Perform other duties as assigned
Requirements
What you’ll need- Bachelor's degree or equivalent education and work experience; master's degree preferred
- Minimum of 8 years of related experience with a bachelor's degree or equivalent
- Experience in data analysis within financial services, fraud risk management, payments, or related domains preferred
- Ability to handle large volumes of data and derive actionable insights
- Strong analytical and problem-solving skills
- Solid business acumen
- Strong written and communication skills with ability to explain complex insights to a range of audiences
- Experience in the consumer credit industry is a plus
- Experience with fraud analytics, fraud reporting, payments data, or financial crime data strongly preferred
- Foundational understanding of fraud typologies, including account takeover, first-party fraud, and transaction fraud
- Experience working with fraud KPIs/KRIs, operational metrics, and regulatory or audit-driven reporting environments preferred
- Familiarity with fraud detection systems, alert/case management tools, or transaction monitoring platforms is a plus
- Ability to thrive in a fast-paced startup environment
Benefits
Comp & perks- Annual performance-based incentive opportunity
- Health insurance
- 401(k) retirement benefits
- Life insurance
- Disability benefits
- Paid time off
- Comprehensive benefits package for eligible employees
