Senior Risk Consultant - US East
AI summary of the role
DataVisor seeks a Senior Risk Consultant to lead client engagements in fraud pattern analysis, risk strategy development, and platform configuration.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead fraud pattern analysis and risk detection strategy development for clients
- Configure DataVisor platform components including Rules Engine, Decision Flows, and Case Management
- Partner with ML Modeling team to develop and evaluate fraud detection models
- Manage solution delivery projects using tools like Monday.com and own key deliverables
What you’ll bring
- 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
- Advanced SQL skills including complex joins and layered business logic
- Strong domain knowledge of fraud and AML use cases in financial services
Technologies
SQL · Python · R · Java · ChatGPT · Claude · Monday.com · Rules Engine · Case Management · Knowledge Graph
About DataVisor
AI-powered fraud and AML platform combining patented unsupervised ML with supervised models for real-time, unified decisioning across banks, fintechs, and digital commerce.
Series D · 200–500 people
Source and classification
Implementation & delivery · Evidence for this classification:
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
More from the job description
Description 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 strate [... source excerpt omitted ...] atform 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 Da [... source excerpt omitted ...] r 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 De
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