Senior Risk Consultant - US East

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

Data Gathering and Integration

• 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

Data Analysis and Risk Strategy Development

• 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

Solution Configuration

• 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

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 Demonstration

• Present project findings, recommendations, and solution outcomes to business and technical stakeholders
• Demonstrate configured solutions and articulate business impact clearly and effectively

Requirements

Experience

• 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

Technical Skills

• Strong domain knowledge of fraud and AML use cases within the financial services industry
• Advanced SQL skills, including complex joins and layered business logic
• 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
• Experience configuring technical products and debugging feature, rule, and result behavior

Soft Skills

• 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

Education

• Bachelor’s degree in a technical or analytical field such as Data Science, Statistics, Computer Science, or a related discipline

Benefits

• Stock options
• Medical insurance
• 401K
• PTO