Forward
RiskIntelligenceLead
Neural analysis suggests this role is
optimal for Lead candidates.
“Risk Intelligence Lead at Forward. Skills: Risk intelligence, Data analytics, Machine learning, Automation. Own the Day-to-Day Merchant Lifecycle. Manage the merchant application review queue”
What You'll Achieve.
Case review SLA attainment 95%+; Average case resolution time within tier; Alert false positive rate under 5%; Auto-adjudication rate 70%+; Case escalation rate under 10%; Dashboard coverage for workflows; Detect emerging patterns; Track VAMP and ACMP ratios; Monitor fraud model performance; Manual steps decline quarter-over-quarter; AI tooling embedded in workflows; SOPs and runbooks current; SAR filing timely; Audit trails complete; Bank sponsor audit documentation ready
Industry & Context.
Root cause analysis; Troubleshooting; Anomaly detection
What They're Looking For.
Must Have
5+ years experience, SQL proficiency, Bachelor's degree
Nice to Have
PhD preferred, Metabase experience, Retool experience, Snowflake Cortex experience, Decisioning platforms experience, Configure rule changes without engineering support, PFAC environment experience, ISO environment experience, Payment facilitator environment experience, Model governance exposure, Risk policy documentation exposure, Bank sponsor audit preparation exposure, ECOA fairness requirements familiarity, Agentic workflows experience
What You'll Do.
Own the Day-to-Day Merchant Lifecycle
Manage the merchant application review queue
Evaluate onboarding submissions
Perform multi-layered KYB verification
Conduct Enhanced Due Diligence
Apply risk-based profiling
Stratify incoming applications
Calibrate review depth
Oversee bank account linking and verification
Troubleshoot exceptions
Monitor for suspicious changes
Review and action transaction monitoring and fraud cases
Escalate policy-level judgment
and chargeback escalations
Act as subject matter expert
Train junior team members
Identify Patterns and Act on Them
Monitor queues across the cohort
Own the auto-adjudication boundary
Perform root cause analysis
Own the fix through to deployment
Partner with Engineering
Translate operational patterns into rule changes
Build the Intelligence Layer
Own SQL-based reporting and analytical infrastructure
Design and operate AI-assisted review workflows
Distill merchant application context
Build Taktile AI agents
Handle multi-step investigative tasks
Build and maintain Metabase dashboards
Provide real-time visibility
Translate raw warehouse data into forward-looking signals
Surface adverse trends
Detect anomalies at pattern level
Own model literacy for the team
Interpret fraud model outputs
Translate model outputs into operational decisions
Drive Automation and Tooling
Identify manual workflows for elimination
Own delivery of automation improvements
Spec operational tooling
Test operational tooling
Validate operational tooling
How You'll Work.
Team & Collaboration
Partner with Engineering; Cross-functional stakeholders; Risk Data Scientist
Communication Scope
Present findings
Process & Methodology
Roadmap planning
Full Job Description
About the Role Forward's Risk and Compliance Operations is scaling to support 45x merchant volume without 45x headcount. The only way that works is if the function gets smarter faster than it grows. That is what this role exists to build. The Risk Intelligence Lead owns the analytical core of RCO. You will build the intelligence layer that powers decision-making across the function: dashboards that surface trends, patterns, and anomalies before they become incidents; AI-assisted workflows that compress review time and reduce manual effort; SQL infrastructure that turns raw operational data into forward-looking signals; and the automation that systematically eliminates the manual work that does not need to be manual. What makes this role distinct is where the intelligence comes from. You do not study the operation from a distance - you sit in it. Reviewing alerts and cases, working through merchant applications, understanding the day-to-day rhythm of the work is what gives you the pattern recognition to build systems that actually work. The best analytical infrastructure is built by someone who has lived the friction, not just modeled it. This is a build role at a company scaling fast. The person who does this well will shape what the RCO function looks like at 10x, 20x, 50x - and will grow directly with it. Key Responsibilities Own the Day-to-Day Merchant Lifecycle Manage the merchant application review queue: evaluate onboarding submissions for accuracy, completeness, and risk indicators - including multi-layered KYB verification (legal structure, beneficial ownership, UBO identification, PEP and sanctions screening) and Enhanced Due Diligence for high-risk merchant segments. Apply risk-based profiling: stratify incoming applications by geography, industry, transaction profile, and ownership structure - calibrating review depth to risk tier (standard, elevated, EDD) rather than applying uniform scrutiny to every application. Oversee bank account linking and verific
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