Fraud Analyst

Teachable’s Fraud team plays a critical role in maintaining acceptable chargeback rates for our payment processing activities. We rely on this team to investigate suspicious transactions and ensure compliance with relevant laws and regulations and company policy.

We are currently seeking a skilled and dedicated Fraud Analyst who will focus on identifying and managing fraud across our platform ensuring the integrity of our offerings and protecting our company employees and creators. You will work alongside other members of the fraud team and cross-functionally enabling us to continue to provide high-quality services to our users and maintain our position as a leader in the industry.

This is a part-time position of 20 hours per week including business hours on Saturday every month (10am-7pm Eastern Time Zone - NYC.)

Responsibilities:

• Use software tools (including our in house Staff app alongside third-party tools like JIRA Sigma and Sift Science) to monitor Teachable customers for elevated levels of fraud and escalate actions accordingly up to removing Creators from the platform

• Develop dashboards in Sigma (based on SQL) as needed to fit the team’s needs

• Develop and maintain machine learning workflows within Sift Science

• Work alongside Security Team to respond to platform-level threats

• Use critical thinking and analysis to determine whether schools and students are fraudulent under Teachable’s standards

• Correspond with customers via email to inform them of potential fraud and possible solutions

• Assist customers in disputing fraudulent transactions by entering data into our payment processor portal

• Send outreach and warnings to Creators about climbing chargeback rates

Qualifications:

• 2-3 years of work experience in payment processing or Trust & Safety

• Strong written communication skills with the ability to explain complicated processes in writing in “plain English” to customers

• Familiarity navigating social media platforms gauging online presence of Creators

• Strong attention to detail

• Ability to operate in gray areas comfort using your ‘gut’

• Familiarity with Excel Google sheets SQL Stripe

• Deep understanding of SaaS platforms

• JIRA Sift Science experience is a plus