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Business Insights Specialist – Insider Fraud Detection, Analytics
TD. Support the development and enhancement of insider fraud detection strategies through advanced analytics, business intelligence, and fraud risk identification .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Fraud Analytics and Risk Management, utilizing Advanced SQL and Python for data analysis and automation. Capable of translating complex data insights into actionable business strategies while collaborating with cross-functional teams.
Highest-signal resume keywords
Advanced SQLAdvanced PythonFraud AnalyticsData-Driven RecommendationsInsider Fraud Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Fraud Detection StrategiesData AnalysisRoot Cause AnalysisStatistical AnalysisAnomaly Detection TechniquesData ValidationComplex Joins and SubqueriesData ReconciliationBehavioral AnalysisReporting Automation
Soft Skills
Problem-SolvingCritical ThinkingWritten CommunicationVerbal Communication
Tools & Technologies
DatabricksSpark SQLSnowflakeCloud-Based Analytical Platforms
Industry Keywords
Fraud ManagementFinancial CrimesAMLInvestigationsRisk AnalyticsFraud TypologiesFraud ControlsEmployee Misconduct MonitoringUnauthorized Activity MonitoringPredictive Analytics
Tech Stack
Tools & technologiesCloudNumpyPandasPythonSparkSQL
About the role
Key responsibilities & impact- Support the development and enhancement of insider fraud detection strategies through advanced analytics, business intelligence, and fraud risk identification
- Analyze large, complex datasets to identify suspicious employee activity, fraud trends, and emerging insider risks
- Support the development and optimization of fraud detection scenarios through data-driven analysis
- Conduct trend, behavioral, and risk-based analyses to identify potential indicators of insider misconduct
- Perform root cause analysis on fraud events and detection gaps
- Recommend enhancements to monitoring and detection strategies
- Develop and maintain dashboards, scorecards, and reporting solutions measuring fraud risk exposure and detection effectiveness
- Translate complex analytical findings into business insights for senior leadership and operational partners
- Produce recurring and ad hoc reporting on fraud trends, detection performance, and key risk indicators
- Monitor and evaluate detection rule performance, false positive rates, and alert volumes
- Develop advanced SQL queries to extract, transform, and analyze data from multiple enterprise data sources
- Use Python to automate analytics processes, perform statistical analyses, and develop scalable monitoring solutions
- Support data validation, quality assurance, and analytical model development
- Create repeatable processes and automated reporting solutions to improve operational efficiency
- Collaborate with Fraud Strategy, Investigations, Compliance, Risk Management, Technology, and Data Engineering teams
- Gather business requirements and translate them into analytical solutions
- Present findings, recommendations, and key insights to stakeholders at various organizational levels
- Support strategic fraud initiatives and ongoing enhancement activities
Requirements
What you’ll need- 3+ years of experience in Fraud Management, Fraud Analytics, Financial Crimes, AML, Investigations, Risk Analytics, or a related field
- Experience identifying fraud trends and developing data-driven recommendations
- Strong understanding of fraud typologies, fraud controls, and investigative processes
- Advanced SQL, including complex joins and subqueries, analytical and window functions, data reconciliation and validation, and large-scale data analysis
- Advanced Python, including pandas, numpy, data transformation and automation, statistical analysis, anomaly detection techniques, and reporting automation
- Strong problem-solving and critical thinking skills
- Ability to identify trends, anomalies, and emerging risks from large datasets
- Experience translating data into actionable business recommendations
- Strong written and verbal communication skills
- Insider Fraud or Insider Risk Management experience preferred
- Financial institution or banking experience preferred
- Detection strategy or rule development experience preferred
- Employee misconduct, data snooping, or unauthorized activity monitoring experience preferred
- Experience with Databricks, Spark SQL, Snowflake, or cloud-based analytical platforms preferred
- Knowledge of machine learning or predictive analytics techniques preferred
Benefits
Comp & perks- Discretionary variable compensation award based on business and individual performance
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development
- Reward and recognition programs
- Regular development conversations, training programs, and access to an online learning platform
- Mentoring programs
- Training and onboarding sessions
- Interview accommodations, including accessible meeting rooms and captioning for virtual interviews