Bank/CF Fraud Operations Lead

This is where you come in. Below, you’ll find what this role is all about—the impact you’ll drive, the challenges you’ll tackle, and what it takes to thrive at Addi. If you’re ready to be part of something big, keep reading.

What’s the mission you’ll drive

Build and scale Bank/CF Fraud Operations into a predictable, high-precision function by translating fraud policies into seamless operational workflows, rigorous execution, and real-time monitoring. Ensure robust protection against losses while minimizing friction for legitimate customers as Addi expands its banking infrastructure.

What you will do

• Standardize and map 100% of high-risk end-to-end customer journeys (IDV, transaction review, account restrictions/closures, mule accounts, ATO, and unrecognized transactions) by establishing durable SOPs, clear decision rights, and cross-functional handoffs across Strategy, CX, Legal, and Product, resulting in zero unmapped operational handoffs and a 100% reduction in single-point-of-failure reliance within 6 months.

• Establish clear operational roles, capacity models, QA routines, and coaching frameworks for Supervisors and Analysts, resulting in 95%+ SLA attainment, a 20% increase in analyst productivity, and an operational quality score of 98%+ across all fraud decisions over the next 12 months.

• Deploy a real-time operational KPI architecture covering demand, capacity, backlog health, and decision consistency to power weekly/monthly business reviews, achieving a 100% resolution rate on identified root-cause actions and delivering seamless feedback loops to Fraud Strategy for rule refinement within 6 months.

• Re-architect high-friction investigation workflows in partnership with Product, Engineering, and CX Platform teams, achieving a 30% reduction in average case cycle time, a 25% drop in manual rework, and a 15-point increase in customer CSAT on restricted-account interactions within 9–12 months.

• Manage operational rollouts and hypercare periods for all new fraud policies, tools, and vendor integrations, ensuring 100% on-time deployment readiness with zero critical post-launch operational disruptions or unmitigated risk trade-offs across 12 months.

What we’re looking for

• Operational Process Building and Continuous Improvement

  • Has personally overseen the creation of Ops processes or diagnosed broken workflows, found root causes, redesigned processes and measured whether the change worked.

  • Can build clear SOPs, controls, R&R, escalation paths and management routines from ambiguity.

  • Balances immediate stabilization with a scalable target state.

• People Leadership

  • Has led operational teams directly or through frontline leaders.

  • Sets clear expectations, coaches performance, builds capability and handles difficult people decisions constructively.

  • Understands staffing, capacity, incentives, quality and team health as an integrated system.

• Cross-Functional and External Partnership

  • Can lead work across Operations, Product, Engineering, Data, Risk, Compliance, Legal and CX without relying on formal authority.

  • Has managed external vendors, banks, processors or other operational partners where applicable.

  • Creates clear agreements, surfaces trade-offs and drives owners to closure.

• Operational Management and Data Fluency

  • Uses SLAs, quality, productivity, backlog, cycle time, demand and customer-impact metrics to run a function.

  • Can distinguish signals from noise, ask good analytical questions and convert monitoring into decisions.

  • Does not need to be a data scientist, but must be comfortable using data to manage and improve operations.

• Change Management and Delivery

  • Has rolled out new processes, policies or tools with communication, training, QA, readiness checks and post-launch monitoring and improvements.

  • Plans for adoption and frontline behavior—not only technical delivery.

• High-Ownership Judgment

  • Operates effectively in ambiguity, prioritizes pragmatically and escalates early.

  • Is comfortable making reversible decisions with incomplete information while protecting customers and the business.

• Domain Learning Agility

  • Can quickly learn fraud typologies, controls, banking regulation and investigation workflows.

  • Knows when to rely on subject-matter experts and how to convert their expertise into repeatable operations.