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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and machine learning with a focus on fraud risk management, utilizing advanced statistical techniques and programming skills to develop scalable solutions. Proven ability to mentor junior data scientists and collaborate effectively with stakeholders to drive impactful analytics.
Highest-signal resume keywords
Data Science ExpertiseMachine Learning TechniquesFraud Risk ManagementSQL ProficiencyPython or R Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ScienceMachine LearningStatistical MethodsModel DeploymentFraud Risk AnalysisData AnalysisHypothesis TestingBehavioral ModelingData ExtractionData Quality Assurance
Soft Skills
Communication SkillsCreative Problem SolvingCritical ThinkingCollaborationMentoring
Tools & Technologies
SQLPythonRLightGBMScikit-LearnPandasAWS SagemakerMLOps FrameworksGeminiChatGPT
Industry Keywords
Fraud Risk ManagementFinancial ServicesQuantitative AnalysisBehavioral PatternsExternal Intelligence Sources
Tech Stack
Tools & technologiesAWSCloudPandasPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Partner with stakeholders to understand fraud risk management requirements and translate them into data-driven solutions
- Measure and monitor fraud risk across the firm’s products and services
- Identify and communicate challenges, opportunities, and risks throughout the model development and deployment lifecycle
- Leverage machine learning, artificial intelligence, and statistical methods to design scalable and automated risk modeling solutions
- Develop and review code and automated processes to extract fraud risk patterns from application and transaction data, behavioral patterns, and other risk indicators
- Monitor emerging machine learning trends and identify opportunities to improve processes
- Mentor and support junior data scientists
- Deliver hypothesis- and objective-driven analytics to inform business decisions and metrics
- Collaborate with stakeholders and tailor analytical deliverables to maximize impact
- Drive analytics from end-to-end experiences through production with measurable impact
- Improve team best practices and processes
- Ensure data and analytical quality from project inception
- Learn, use, and teach new technologies as needed
Requirements
What you’ll need- 4 or more years of professional experience in data science, machine learning, and artificial intelligence, focused on fraud risk management in financial services
- Master’s or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Data Science, Operations Research, or Computer Science
- Strong knowledge of fraud risk-drivers in small and medium sized businesses, public firms, and private firms
- Advanced knowledge of SQL and experience creating and managing large datasets
- Advanced knowledge of Python or R and common data science libraries such as lightgbm, scikit-learn, and pandas
- Deep understanding of model deployment requirements for scalable solutions and real-time feature stores
- Deep expertise in statistical and machine learning techniques, including modeling, testing, inference, sampling methods, supervised learning, and unsupervised learning
- Strong communication and presentation skills
- Ability to work collaboratively and independently in a self-starting manner
- Evidence of creative problem solving, critical thinking, and continual learning in credit risk management
- Prior experience mentoring data scientists
- Prior experience building underwriting and behavioral models
- Knowledge of external intelligence sources, including LexisNexis, Socure, and Dun and Bradstreet
- Experience using cloud environments such as AWS Sagemaker
- Experience with end-to-end machine learning systems and MLOps frameworks
- AI tool experience preferred, including Gemini, ChatGPT, or similar
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- Retirement savings plan
- Paid time off
- Health savings account
- Flexible spending accounts
- Life insurance
- Disability insurance
- Tuition reimbursement
- Quarterly or annual bonus eligibility for non-sales roles