You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 2 months ago
warning
Heads-up
Requirements and responsibilities
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 OverviewDataVisor 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 ResponsibilitiesBusiness Problem DiscoveryPartner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomesTranslate business challenges into actionable risk and solution requirementsData Gathering and IntegrationLead technical discussions with clients’ risk, fraud, AML, and data teams to ensure complete and high-quality data collectionOwn data transfer coordination and data quality validationData Analysis and Risk Strategy DevelopmentConduct data analysis and fraud pattern analysis using strong domain expertise and business judgmentDesign, recommend, test, and iterate on detection strategies to improve risk outcomesSolution ConfigurationConfigure DataVisor platform components such as Rules Engine, Decision Flows, Case Management, Knowledge Graph, and BI DashboardsDeliver tailored solutions that generate strong business value for clientsML Model Performance AnalysisPartner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection modelsAnalyze model performance metrics and provide guidance on threshold setting and decisioning strategiesProject Management and DocumentationManage solution delivery projects using project management tools such as Monday.comOwn the creation, maintenance, and reporting of key internal and customer-facing project deliverablesPresentation and DemonstrationPresent project findings, recommendations, and solution outcomes to business and technical stakeholdersDemonstrate configured solutions and articulate business impact clearly and effectivelyRequirementsExperience4+ years of experience in fraud and/or AML strategy, analytics, or modeling2+ years of experience leading client-facing data analytics or consulting projectsTechnical SkillsStrong domain knowledge of fraud and AML use cases within the financial services industryAdvanced SQL skills, including complex joins and layered business logicFamiliarity with Python, R, and Java is a plusExperience using LLM tools such as ChatGPT and Claude to accelerate research, problem-solving, and documentationExperience configuring technical products and debugging feature, rule, and result behaviorSoft SkillsExcellent communication, presentation, and interpersonal skillsStrong analytical, problem-solving, and results-oriented mindsetStrong documentation discipline and interest in automation using AI tools and agentsAbility to collaborate effectively in a fast-paced team environment and manage multiple projects simultaneouslyEducationBachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related disciplineBenefitsStock options, Medical insurance, 401K, PTOWhy Join DataVisorWork on high-impact projects that help protect businesses and consumers from fraud and financial crimeCollaborate with a talented and diverse team of experts in AI, machine learning, and data scienceGrow your career in a flexible and supportive work environmentReceive a competitive compensation and benefits packageWork remotely (eastern time zone preferred)
Optionally, you can add more information later (benefits, pre-screening questions, etc.)