Credit Risk, Fraud Strategist
Stripe is hiring a Credit Risk, Fraud Strategist for a remote role open to applicants in United States. It pays $122k-$182k a year and Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- This is listed as a remote role.
- The posting mentions Databricks, Python and R among its tools and skills.
- Stripe has 730 other open roles on Level.
- This posting went up within the past two weeks.
AI in this role
Develop machine learning and data strategies to mitigate fraud risk and analyze payments transactions.
Who we are
About Stripe
Stripe, LLC. 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.
What you’ll do
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
Minimum requirements
Must have a Bachelor's degree or foreign equivalent in Business Administration, Economics, Statistics, Finance, Engineering, or a related quantitative field plus 4 years of experience as a Risk or Fraud Strategist or a related occupation.
Must also have 3 years of experience in each of the following:
- Payments-related domains, including regional payment methods, risk management, fraud prevention, or trust and safety operations;
- Working with quantitative tools including Python, R or Stata;
- Using SQL;
- Project Management analytical tools including Jira, Asana, and Gantt charts;
- Predictive Analytics;
- Machine Learning;
- A/B Testing; and
- Databricks and Airflow.
Salary: $121,600.00 - $182,400.00 /yr.
This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.
40 hrs/week
100 % Telecommuting permitted
Multiple Positions Available.
Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.CA62
#LI-DNI
How we rate this
Credit Risk, Fraud Strategist at Stripe rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where fraud prevention was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where a b testing was part of your work. What did you do?
- Tell me about a project where predictive analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Risk Management, Fraud Prevention, Machine learning, A B Testing, and Predictive Analytics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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