Senior Manager
Fraud Strategy & Operations
Posted on 3/19/2024
WhatNot

501-1,000 employees

Community marketplace platform
Company Overview
WhatNot’s mission is to enable anyone to turn their passion into a business & bring people together through commerce. The company has the fastest growing marketplace with their unique shopping experience for niche and passionate users.
Consumer Goods

Company Stage

Series D

Total Funding

$464.7M

Founded

2019

Headquarters

Marina del Rey, California

Growth & Insights
Headcount

6 month growth

19%

1 year growth

62%

2 year growth

296%
Locations
Seattle, WA, USA • San Francisco, CA, USA • Los Angeles, CA, USA • Phoenix...
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
CategoriesNew
Operations & Logistics
Quality Control & Compliance
Requirements
  • 8+ years of experience in e-commerce risk management, fraud prevention, and operations including time at a high-growth startup
  • A Bachelor's degree in Statistics, Business, Finance, Economics, related field, or equivalent experience
  • Experiencing leading and mentoring risk management and operations teams
  • Deep understanding of payment and fraud risks for both financial transactions, product abuse and how it may be applied in a two-sided marketplace
  • Excellence in data and analytics
  • Demonstrated strong cross-functional collaboration abilities in high-pressure and fast-paced environments
Responsibilities
  • Develop and manage a comprehensive and balanced fraud detection, investigation, and mitigation program to safeguard the platform from financial loss and maintain buyer and seller trust
  • Set and ensure performance for the team against quality, procedures and service level agreements goals, including payment processor requirements and benchmarks
  • Monitor, assess, and report out on the effectiveness of controls
  • Identify gaps in processes and strategies, and work cross-functionally to solve them
  • Identify trends and threat vectors to support fraud product, engineering, and data science automated detection and enforcement efforts