Senior Risk Consultant - US East

DataVisor•Mountain View, CA

1d•Remote

About The Position

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.

Requirements

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
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

Nice To Haves

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

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