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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 strategy and machine learning applications within compliance products, with a strong focus on KYC, AML, and risk modeling. Proven ability to lead high-performing teams and manage the end-to-end model lifecycle while ensuring compliance and governance standards are met.
Highest-signal resume keywords
Data Science StrategyMachine LearningKYC/AML ComplianceTeam LeadershipPython 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
Machine LearningStatistical ModelingEntity MatchingInformation ExtractionRisk ModelingModel EvaluationMonitoringExplainabilityGovernanceDeployment
Soft Skills
Excellent CommunicationCustomer-Facing Technical Discussions
Tools & Technologies
PythonPyTorchApache SparkLarge-Scale Data Systems
Certifications & Qualifications
Advanced Degree (MS or PhD) in Computer Science, Statistics, Mathematics, Engineering
Industry Keywords
Compliance ProductsKYCAMLWatchlist ScreeningIdentity VerificationFraud PreventionFinancial ServicesFintech
Tech Stack
Tools & technologiesApachePythonPyTorchSparkGo
About the role
Key responsibilities & impact- Define and own the data science strategy and roadmap for Compliance Products
- Lead, grow, and develop a high-performing team of data scientists and applied researchers
- Advance machine learning and decisioning across KYC and International KYC
- Improve Advanced Prefill by selecting, validating, and ranking relevant data
- Develop and improve deceased-person detection and associated risk signals
- Build and scale Global Watchlist Screening and Monitoring capabilities, including entity matching, alert prioritization, ongoing monitoring, and false-positive reduction
- Advance AML and compliance risk models for identifying and investigating potentially suspicious activity
- Establish rigorous evaluation practices, including representative test data, segment-level performance, ongoing monitoring, drift detection, and feedback loops
- Own the end-to-end model lifecycle: data strategy, feature development, experimentation, validation, deployment, monitoring, and continuous improvement
- Ensure models and AI-enabled workflows are explainable, auditable, reliable, and aligned with compliance and governance requirements
- Assess automation and agent-assisted workflows and define human oversight and operational controls
- Partner with Product, Engineering, Risk, Operations, Legal/Compliance, and Go-to-Market teams
- Serve as a senior technical partner to customers and executives
- Represent Socure externally as a thought leader in applied data science for identity verification and compliance
Requirements
What you’ll need- Advanced degree (MS or PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field
- 10+ years of experience in data science and machine learning, including a strong record of delivering production systems at scale
- Significant experience in compliance, KYC/AML, watchlist screening, identity verification, fraud prevention, or risk modeling in financial services, fintech, or an adjacent domain
- Proven experience leading and developing high-performing data science teams
- Strong understanding of modern machine learning, statistical modeling, entity matching, information extraction, and decision systems
- Experience working with heterogeneous and large-scale data, including structured data, text, and third-party data sources
- Demonstrated ability to move ambiguous, high-impact problems from discovery to production while balancing rigor, speed, and business outcomes
- Hands-on experience with Python and modern ML frameworks such as PyTorch; experience with Apache Spark or comparable distributed data systems
- Practical understanding of model evaluation, monitoring, explainability, governance, and responsible deployment in regulated or high-stakes settings
- Excellent communication skills, with the ability to explain complex systems and trade-offs to technical and non-technical audiences
- Experience in customer-facing technical discussions, executive briefings, or public speaking is preferred
- Must be able to work within approximately 45 miles of San Francisco, New York, Seattle, or Miami
- Socure is unable to provide sponsorship support now or in the future
Benefits
Comp & perks- Equity
- Annual bonus or commission plan
- Competitive compensation
- Benefits
- Work on challenging, high-impact problems in identity verification and financial crime prevention
- Build data science capabilities behind products used in important customer compliance workflows
- Join a fast-moving, high-caliber team that values innovation, ownership, and customer impact
- Help shape trusted digital experiences at global scale