MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Transaction Fraud Strategist

Stripe

Full-time
USA
$116k-$195k per year
fraud
python
sql
project management
machine learning
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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 Team is committed to minimizing Stripe’s financial losses from fraud attacks. The Transaction Fraud Team is responsible for building and implementing strategies that scalably reduce risk for Stripe and preserve a healthy payment and financial ecosystem, while creating positive experiences for users.

What you’ll do

As a Risk Strategist on the Transaction Fraud team, you will be directly responsible for preventing and mitigating Transaction Fraud at 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

  • Monitor portfolio and transactions to identify and predict risky behavior that could result in losses for Stripe and our users

  • Collaborating with internal partners like Product, Engineering, Data Science, and Operations, to tailor fraud risk management techniques to various products, payment methods across the globe

  • Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design and outsource manual/repetitive workflows

  • 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

  • 3+ years of relevant professional experience

  • Intermediate SQL skills and experience in applying these skills in business environments

  • Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization

  • Curiosity and passion for risk prevention: if something seems off, you want to investigate what’s going on and solve root problems

  • Willingness to make these difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisions

  • 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 quantitative tools such as Python, R, etc

  • Experience with payments (particularly working with regional payment methods), risk, or trust & safety

  • Experience working with product teams

  • Experience working with machine learning teams

  • Experience working in fast-paced and rapidly changing start-up environments

About the job

Full-time
USA
$116k-$195k per year
22 Applicants
Posted 1 month ago
fraud
python
sql
project management
machine learning
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Transaction Fraud Strategist

Stripe
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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 Team is committed to minimizing Stripe’s financial losses from fraud attacks. The Transaction Fraud Team is responsible for building and implementing strategies that scalably reduce risk for Stripe and preserve a healthy payment and financial ecosystem, while creating positive experiences for users.

What you’ll do

As a Risk Strategist on the Transaction Fraud team, you will be directly responsible for preventing and mitigating Transaction Fraud at 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

  • Monitor portfolio and transactions to identify and predict risky behavior that could result in losses for Stripe and our users

  • Collaborating with internal partners like Product, Engineering, Data Science, and Operations, to tailor fraud risk management techniques to various products, payment methods across the globe

  • Scale risk processes to cover an increasingly large and complex landscape of payments risks and effectively design and outsource manual/repetitive workflows

  • 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

  • 3+ years of relevant professional experience

  • Intermediate SQL skills and experience in applying these skills in business environments

  • Strong analytical skills - you are passionate about data analysis and can frame business decisions and tradeoffs effectively through quantitative analysis and visualization

  • Curiosity and passion for risk prevention: if something seems off, you want to investigate what’s going on and solve root problems

  • Willingness to make these difficult decisions and quickly learn and iterate from these experiences - you are skilled at using data to drive decisions

  • 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 quantitative tools such as Python, R, etc

  • Experience with payments (particularly working with regional payment methods), risk, or trust & safety

  • Experience working with product teams

  • Experience working with machine learning teams

  • Experience working in fast-paced and rapidly changing start-up environments

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Free Job Alerts

Job Skills
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.