Note: The job is a remote job and is open to candidates in USA. DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. In this role, you will lead a variety of technical and strategic client engagements, including fraud pattern analysis, risk detection strategy development, platform configuration, and machine learning model optimization.
Responsibilities
- 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
Skills
- 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
- 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
- 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
Benefits
- Stock options
- Medical insurance
- 401K
- PTO
- Work remotely (eastern time zone preferred)
Company Overview
Company H1B Sponsorship