DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!
Position Overview
DataVisor is seeking a Senior Risk Consultant to join our Professional Services team. 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.
These projects may support customers in both pre-sales and post-sales phases. You will work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams to help customers improve fraud prevention outcomes, drive operational efficiency, and deliver measurable business impact.
Key Responsibilities
Business Problem Discovery
- 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
Data Gathering and Integration
- 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
Data Analysis and Risk Strategy Development
- 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
Solution Configuration
- 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
ML Model Performance Analysis
- 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
Project Management and Documentation
- 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
Presentation and Demonstration
- Present project findings, recommendations, and solution outcomes to business and technical stakeholders
- Demonstrate configured solutions and articulate business impact clearly and effectively
Requirements
- Experience
- 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
- Technical Skills
- 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
- Soft Skills
- 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
- Education
- Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline
Benefits
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)
DataVisor Mountain View, California, USA Office
967 N Shoreline Blvd, Mountain View, CA, United States, 94043
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
