Merchant Fraud Strategist

    • Stripe
  • Posted 60+ days ago | Updated 6 hours ago

Overview

On Site
Full Time

Skills

Internet
Data Science
Analytical skill
Data Analysis
Quantitative Analysis
User experience
Project management
Machine Learning (ML)
Fraud
Strategist
Finance
Startups
Payments
GDP
Strategy
Management
Design
Workflow
Operations
ROOT
Visualization
SQL
Communication
Python
R
Stata
Knowledge management
Collaboration
UPS

Job Details

Who we are
About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.
About the team

Stripe's Fraud Risk Strategy Team is committed to minimizing Stripe's financial losses from fraud attacks. The Fraud Risk Strategy Team is responsible for building and implementing strategies that scalably reduce risk for Stripe and preserve a healthy financial and payments ecosystem, while creating positive experiences for users.
What you'll do

As a Risk Strategist on the Fraud team, you will be directly responsible for decreasing losses emanating from fraudsters operating on Stripe. You will enable safer payments for our users and help Stripe manage payments risks intelligently. The stakes are high, and you will be up against ever-evolving challenges. You will face some of the most complex and dynamic problems at the company, and the nature of your work will evolve rapidly to combat new and more sophisticated challenges to Stripe's payments integrity.
Responsibilities
  • Analyze accounts and transactions to identify and predict risky behavior that could result in losses for Stripe or pose challenges to the broader payments ecosystem
  • Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design strategies and solutions that might range from ML model features to manual review workflows
  • Work with internal partners like Engineering, Product, Data Science and Operations to develop solutions that would mitigate fraud risk across different geographies, payment methods and products
  • Work with Stripe users to educate them about and help prevent potential risks to their business
  • Challenge the payments industry status quo to help enable innovative businesses to flourish online
Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
  • 4-6 years of relevant professional experience
  • Curiosity and passion for risk prevention: if something seems off, you want to investigate what's going on and solve root problems
  • Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization
  • Intermediate SQL skills and experience in applying these skills in business environments
  • Decisiveness, yet open to learning: you will make many critical decisions every day impacting large numbers of merchants
  • Understanding and empathy for the challenges of setting up a new business - you will thoughtfully balance scaled enforcement decisions with user experience
  • Excellent communication skills and knows how to be a team player - you are able to convey complex ideas succinctly and work effectively across teams
  • Project management skills - you have demonstrated project management skills and the ability to drive execution on projects that span multiple teams both within and outside of Risk
Preferred qualifications
  • Expertise with SQL
  • Expertise with quantitative tools such as Python, R, or Stata
  • Experience with payments (particularly working with regional payment methods), risk, or trust & safety
  • Experience working with machine learning and data science teams
  • Experience working in fast-paced and rapidly changing start-up environment

Hybrid work at Stripe

This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office).

Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams.

A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live.