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Tech Stack
Tools & technologiesJavaPythonSQL
About the role
Key responsibilities & impact- Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes
- Translate business challenges into actionable risk and solution requirements
- Lead technical discussions with clients’ risk, fraud, AML, and data teams to ensure complete and high-quality data collection
- Own data transfer coordination and data quality validation
- Conduct data analysis and fraud pattern analysis using strong domain expertise and business judgment
- Design, recommend, test, and iterate on detection strategies to improve risk outcomes
- Configure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI Dashboards
- Deliver tailored solutions that generate strong business value for clients
- Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models
- Analyze model performance metrics and provide guidance on threshold setting and decisioning strategies
- Manage solution delivery projects using project management tools such as Monday.com
- Own the creation, maintenance, and reporting of key internal and customer-facing project deliverables
- Present project findings, recommendations, and solution outcomes to business and technical stakeholders
- Demonstrate configured solutions and articulate business impact clearly and effectively
Requirements
What you’ll need- 4+ years of experience in fraud and/or AML strategy, analytics, or modeling
- 2+ years of experience leading client-facing data analytics or consulting projects
- Strong domain knowledge of fraud and AML use cases within the financial services industry
- Advanced SQL skills, including complex joins and layered business logic
- Familiarity with Python, R, and Java is a plus
- Experience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentation
- Experience configuring technical products and debugging feature, rule, and result behavior
- Excellent communication, presentation, and interpersonal skills
- Strong analytical, problem-solving, and results-oriented mindset
- Strong documentation discipline and interest in automation using AI tools and agents
- Ability to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneously
- Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline
Benefits
Comp & perks- Stock options, Medical insurance, 401K, PTO
- Why Join DataVisor
- - Work on high-impact projects that help protect businesses and consumers from fraud and financial crime
- - Collaborate with a talented and diverse team of experts in AI, machine learning, and data science
- - Grow your career in a flexible and supportive work environment
- - Receive a competitive compensation and benefits package
- - Work remotely (eastern time zone preferred)
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRJavadata analysisfraud detectionAML modelingdata quality validationrisk managementdetection strategies
Soft Skills
communicationpresentationinterpersonal skillsanalytical mindsetproblem-solvingresults-orienteddocumentation disciplinecollaborationproject managementclient-facing
