Senior Modelling/Forecasting Analyst – Fraud Risk Analytics, AI

Jobtailor; Mount Laurel Township (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking a data analytics and risk oversight professional to support the US Fraud, Insider and Conduct Risk team in Mount Laurel, NJ. You will build dashboards, data models, and repeatable analytics while translating complex risk information into actionable insights for management and second-line oversight.

You will work with cross-functional teams, document AI use cases, and help govern AI outputs with transparency and controls, contributing to continuous process improvements and

Qualifications

• Undergraduate degree or advanced technical degree preferred in math, physics, engineering, finance, or CS.
• Graduate degree preferred with progressive project work or 3+ years of relevant experience.
• Hands-on experience building dashboards, data models, reports, or scorecards with Power BI or similar BI tools.
• Experience with Power Apps, workflow tools, low-code/no-code solutions, or process automation.
• Familiarity with eGRC platforms or control, issue, policy, procedure, and risk data.
• Exposure to AI, GenAI, ML, analytics automation, or AI-assisted reporting.
• Understanding of AI governance concepts including explainability, validation, human review, and model risk.
• Experience in fraud risk, financial crime, operational risk, insider risk, conduct risk, or banking.
• Documentation of data flows, requirements, assumptions, limitations, controls, and review evidence.

Responsibilities

• Develop and maintain repeatable reporting, analytics, dashboards, and workflow routines.
• Translate fraud risk, control, issue, and governance information into management insights for oversight.
• Gather, structure, validate, visualize, and summarize risk data and operating processes.
• Support AI use and oversight, including GenAI and automation capabilities.
• Document AI use cases and maintain evidence of review, transparency, and controls.
• Lead or facilitate remediation plans for performance, risk, and governance issues.
• Collaborate with data scientists, process owners, visualization experts, and cross-functional teams.
• Design and deliver enterprise analytic solutions and communicate findings to management.

Skills

Fraud Risk Management

Data Analytics

AI Governance Concepts

Power BI Dashboard Development

Process Automation

Education

Undergraduate degree

Advanced technical degree

Graduate degree preferred

Tools

Power Apps

eGRC Platforms

Low-Code Solutions

No-Code Solutions

Visualization Tools

Job description

• Provide analytical, technical, reporting, and process support for the US Fraud, Insider and Conduct Risk Oversight team
• Develop and maintain repeatable reporting, analytics, dashboarding, and workflow routines
• Translate fraud risk, control, issue, and governance information into insights for management review and second-line oversight
• Gather, structure, validate, visualize, and summarize risk, control, issue, policy, procedure, and operating process data
• Support use and oversight of AI, including GenAI and emerging automation capabilities
• Document AI use cases, assess outputs, summarize key risks, and maintain evidence of review, challenge, transparency, and controls
• Act as a subject matter expert and process reference within the area of specialization
• Solve complex, non-routine issues and escalated matters independently end-to-end
• Work with business owners to identify opportunities and promote data modelling
• Translate business requirements into technical requirements
• Manage core bank and source systems, data, and metadata to support business needs
• Develop and design data solutions; review data models and outputs to validate information quality
• Collaborate with data scientists, business process owners, visualization experts, and cross-functional teams
• Design and deliver enterprise analytic solutions
• Conduct research, analysis, presentations, and communications for management and broader audiences
• Make recommendations and assess program, policy, and practice effectiveness
• Monitor service, productivity, and efficiency; implement continuous process improvements
• Lead or facilitate action and remediation plans for performance, risk, and governance issues
• Manage relationships across business lines and control functions
• Monitor emerging issues, trends, and regulatory requirements
• Maintain risk management and control processes aligned with risk appetite
• Participate in team development, knowledge transfer, mentoring, and stakeholder relationship building

Requirements

• Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science
• Graduate's degree preferred with either progressive project work experience, or 3+ year of relevant experience; higher degree education and research tenure can be counted
• Hands-on experience developing dashboards, data models, reporting routines, or scorecards using Power BI or comparable business intelligence tools
• Experience with Power Apps, workflow tools, low-code / no-code solutions, or process automation
• Familiarity with eGRC platforms or control, issue, policy, procedure, and risk data
• Exposure to AI, GenAI, machine learning, analytics automation, or AI‑assisted reporting
• Understanding of AI governance concepts, including explainability, output validation, human review, responsible use, data quality, transparency, bias, and model risk
• Experience in fraud risk, financial crime, operational risk, insider risk, conduct risk, or banking
• Experience documenting processes, data flows, business requirements, assumptions, limitations, controls, and review evidence
• Strong PowerPoint and storytelling capability
• Technical aptitude and ability to learn new tools and simplify manual processes
• Ability to perform sedentary work and operate standard office equipment
• Ability to perform multiple tasks and concentrate for long periods
• Ability to read, write, comprehend instructions, and perform basic arithmetic

Core Competencies

Demonstrates expertise in fraud risk management, data analytics, and AI governance, with a strong ability to develop and maintain reporting and dashboard solutions. Capable of translating complex business requirements into actionable insights while fostering collaboration across cross-functional teams.

Highest-signal resume keywords

• Fraud Risk Management
• Data Analytics
• Power BI Dashboard Development
• AI Governance Concepts
• Process Automation

ATS Optimization Keywords

Hard Skills

• Data Modeling
• Reporting Routines
• Analytics Automation
• Machine Learning
• Business Intelligence Tools
• Documentation of Processes
• Data Quality Validation
• Risk Management
• Continuous Process Improvement
• Technical Requirements Translation

Soft Skills

• Storytelling Capability
• Collaboration
• Problem Solving
• Mentoring
• Stakeholder Relationship Building

Industry Keywords

• Operational Risk
• Financial Crime
• Conduct Risk
• Insider Risk
• Regulatory Requirements

Tools & Technologies

• Power Apps
• eGRC Platforms
• Low-Code Solutions
• No-Code Solutions
• Visualization Tools