DataVisor
Computer Software
SeniorRiskConsultant
“Senior Risk Consultant at DataVisor. Skills: fraud and/or AML strategy, analytics, modeling, client-facing data analytics, consulting projects, risk detection strategy development, platform configuration, machine learning model optimization. lead a variety of technical and strategic client engagements. fraud pattern analysis”
What You'll Achieve.
help customers improve fraud prevention outcomes; drive operational efficiency; deliver measurable business impact; generate business value for clients; improve risk outcomes
Industry & Context.
analytical, problem-solving, and results-oriented mindset; problem-solving using LLM tools
Work remotely (eastern time zone preferred)
What They're Looking For.
Must Have
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, 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, Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline
Nice to Have
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
What You'll Do.
lead a variety of technical and strategic client engagements
fraud pattern analysis
risk detection strategy development
platform configuration
machine learning model optimization
support customers in both pre-sales and post-sales phases
help customers improve fraud prevention outcomes
drive operational efficiency
deliver measurable business impact
Business Problem Discovery
Data Gathering and Integration
Data Analysis and Risk Strategy Development
Solution Configuration
ML Model Performance Analysis
Project Management and Documentation
Presentation and Demonstration
How You'll Work.
Team & Collaboration
work cross-functionally with Customer Success, Solutions Consulting, ML Modeling, Delivery, Product, and Engineering teams; Partner with clients to understand business logic, decision flows, pain points, fraud patterns, data availability, data quality, and desired business outcomes; Lead technical discussions with clients’ risk, fraud, AML, and data teams; Partner with the ML Modeling team to develop, tune, and evaluate supervised and unsupervised fraud detection models; Ability to collaborate effectively in a fast-paced team environment
Communication Scope
Excellent communication, presentation, and interpersonal skills; Present project findings, recommendations, and solution outcomes to business and technical stakeholders; Demonstrate configured solutions and articulate business impact clearly and effectively
Process & Methodology
Manage solution delivery projects using project management tools such as Monday. com
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