Member of Technical Staff - Head of Fraud

Nelo, NYC +1

What you will do

Role mission: Engineer a fraud detection and mitigation system that maximizes precision first, then recall.

Fraud threat assessment. Within three weeks of start date, produce an independent fraud risk assessment of Nelo. Where are our biggest weaknesses? What is on fire, or a greater risk than we previously believed? What roadmap follows from those findings?
Step-up optimization. Best-in-class log-in challenge rates are ultra-high precision and very low in relative terms. Within five weeks of start date, launch a test intended to get us to our challenge rate and precision goals.
Acquisition fraud (if your background is in financial services). Much of our fraud in dollar terms is first-party fraud at time of acquisition: a tough problem, and one rich in opportunity. Within one month of start date, launch an experiment that reduces first payment default rate by 3 percentage points for a segment, with the smallest possible impact to approval rate.
Establish the fraud ops function. Within three months of start date, build a system that generates repeatable intelligence from a manual fraud case review feedback loop, whether with AI agents, human agents, or both.

Nelo, NYC +1

Role mission: Engineer a fraud detection and mitigation system that maximizes precision first, then recall.

Fraud threat assessment. Within three weeks of start date, produce an independent fraud risk assessment of Nelo. Where are our biggest weaknesses? What is on fire, or a greater risk than we previously believed? What roadmap follows from those findings?
Step-up optimization. Best-in-class log-in challenge rates are ultra-high precision and very low in relative terms. Within five weeks of start date, launch a test intended to get us to our challenge rate and precision goals.
Acquisition fraud (if your background is in financial services). Much of our fraud in dollar terms is first-party fraud at time of acquisition: a tough problem, and one rich in opportunity. Within one month of start date, launch an experiment that reduces first payment default rate by 3 percentage points for a segment, with the smallest possible impact to approval rate.
Establish the fraud ops function. Within three months of start date, build a system that generates repeatable intelligence from a manual fraud case review feedback loop, whether with AI agents, human agents, or both.