Fraud Analytics Manager

About ADDI

We are a technology company working to transform credit and banking in Latin America starting with point of sale finance. We aim to build fair, simple and affordable financial services that empower our clients, treating them with dignity, and building financial freedom. We launched in February 2019 and have already served thousands of clients and disbursed millions of dollars.

We operate as a full stack startup. We have built our core systems and processes from scratch, and we believe our technology and analytics platform will drive our progress into the years to come. We come at this with deep experience building and growing technology teams and financial products. As important as what we do is how we do it. We are a conscious company, and are deeply committed to working and living our five core values - A company of owners inspiring colleagues, we pull rabbits out of hats, we care and we trust, act with integrity, win today every day, and scale exponentially

We are backed by Andreessen Horowitz, Monashees, Village Global, and an outstanding team of individual angels, including Kevin Ryan, Josh Abramowitz, and Scott Weiss.

Mission

Responsible for the definition and ex-post evaluation of the fraud underwriting strategies using a framework that optimize the tradeoff between growth and fraud prevention in our different acquisitions channels for Buy Now Pay later (BNPL) in Colombia and Brazil (for now).

This person will work close with credit, product, data science, fraud operations and go to market teams. A successful candidate will require to define policies using analytics, balance origination and risk to prevent fraudulent originations from third parties and first party individuals

Responsibilities

• Define Addi fraud policies for BNPL in Colombia for our different acquisition channels and establish a framework to measure the efficiency of the policy
• Mentor Business Analysts and work in the creation of a high impact Fraud Business Analytics team.
• Give follow up to the measurement of our risk decisions with a strong monitoring of swap ins and swap outs from our policies.
• Build a feedback loop between fraud operations, go to market and customer experience to detect new fraud vectors or false positives

Requirements

• 3+ years working in risk for credit
• Understanding of identity theft
• Solid knowledge of SQL
• Fluency in Python, R, Scala, SAS or Matlab
• Ability to boldly communicate policies and data insights to the whole organization (risk committee, management team, product and GTM)