Senior Risk Consultant

About Us

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

The Risk Solutions Consultant (Professional Service) will be in our Professional Service team, reporting to our Chief Solution Architect and VP of Solution Services. You will be leading various types of technical projects e.g. fraud attack pattern study, risk detection strategy development, risk platform configuration, and machine learning model enhancement. Such projects can be for clients in pre-sales and post-sales stages with DataVisor. You will drive the internal engagement with Customer Success team, Solutions Consulting team, ML Modeling team, Product team and Engineering team to deliver strong risk prevention results and operation efficiency improvement that bring business impacts to our clients and generate revenue for DataVisor. 

Key Responsibilities

• Business Problem Discovery: Discover and understand the client’s business logics and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome. 
• Data Gathering and Integration: Lead technical discussions with clients’ risk business teams (Fraud and AML) and data team to ensure comprehensive, good quality data is provided. Own the data transfers and data quality checks. 
• Data Analysis and Risk Strategies: Apply your strong domain expertise and business sense to conduct data analyses, pattern analyses, suggest and create detection strategies, and perform strategy testing and iterations. 
• Solution Configurations: Configure various DataVisor solution components e.g. Rules Engine, Decision Flows, Case Management, Knowledge Graph, BI Dashboards to provide tailored results and strong business values to clients. 
• ML Model Performance Analysis: Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption.
• Project Management and Documentation: Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables. 
• Presentation and Demonstration: Present the project results and demonstrate the configured solutions to key business stakeholders.  

• Experience: 
• 4+ years of experience in Fraud and/or AML strategies or models
• 2+ years of experience in client-facing data analytic projects
• Technical Skills: 
• Domain knowledge in Fraud and AML use cases in financial services industry
• Proficient in SQL queries with complex joining and layered logics
• Familiarity with Python, R, and Java is a plus.
• Proficient in LLM tools e.g. ChatGPT to research new business problems
• Technical product configurations and feature/rule result debugging
• Soft Skills: 
• Excellent communication, presentation, and interpersonal skills
• Strong problem-solving mindset and results-driven mindset
• Strong mindset of documentation and automation with AI tools/agents
• Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously.
• Education: 
• Bachelor’s degree in a technical or analytical discipline e.g. Data Science, Statistics, Computer Science

Stock options, Medical insurance, 401K, PTO

Why Join Us?

• Opportunity to work on impactful projects that protect businesses and consumers from fraud.
• Collaborate with a diverse and talented team of experts in AI, machine learning, and data science.
• Enjoy a flexible, supportive work environment with opportunities for professional growth.
• Competitive compensation and benefits package.