tastylive

Head of Fraud Risk

Chicago, IL · Full-time

Sponsorship not specified$195k-$250kDetected 8 days ago

A/B TestingCustomer SupportLeadership

About the role

This is a high-visibility, high-autonomy role that will report directly into senior leadership and work closely with compliance, operations, product, & technology teams.
You will define the function, hire the team, select the tools and vendors, and set the strategy while managing the program operationally.
You are comfortable with ambiguity, energized by greenfield work, and able to move fast and pivot.

Build and own the fraud program
Partner with the business to define the firm's fraud risk appetite and translate it into a measurable fraud budget and KPI framework. Own reporting to senior leadership and IG Group.
Separate out fraud operations from our AML regulatory obligations and design and document the escalation path for SAR filing decisions between your team and the AML Officer.
Own the fraud budget and headcount plan, including tooling and vendor spend.
Drive fraud investigations to resolution, coordinating with all relevant internal and external partners.
Define and own our monitoring and detection strategy. Evaluate potential vendors and partner with Product and Technology to ensure we have the tools in place to manage fraud risk.
Hire, build, and manage the Fraud Risk team. Define each role's scope, escalation authority, and relationship with Customer Support, Compliance, and Margin & Risk teams.
Build the frontline escalation protocol with structured intake, defined triggers, and feedback loops.
Develop the Fraud Investigator's case playbooks and settlement agreement process.
Build the measurement infrastructure which includes labeled fraud data, false positive rate tracking, A/B testing capability, and trend analysis.

Build and maintain the fraud universe map including what vectors matter the most, where they occur in the customer journey, and what we are doing and not doing about them.

This listing is sourced directly from tastylive's careers page and normalized into a canonical job model.