We are a customer-first, fraud-fighting company that builds software to detect, reduce and stop fraud.
At Rippleshot, we bring machine learning automation, predictive analytics, big data, and cloud technology to the fight, but our most important tool is you. Collaboration and teamwork are at the foundation of what we do.
We are AI-driven and human-powered. We believe you cannot do it on your own.
Our employees are our bedrock. Our customers are family. Card fraud is complex, labor-intensive, ever-changing, and more challenging when you're on your own. We stop it together.
Banks and credit unions provide incredible service and solutions to millions of people across the country. Still, they should not use inadequate tools, legacy software, and strategies to keep their customers and members protected.
So we created an affordable, reliable, and cutting edge technology solution to help banks, credit unions, and card processors across the country protect their customers, reduce fraud, improve customer experience, and save a ton of time and headaches.
In our over 40 years of combined experience identifying and mitigating card fraud, we’ve seen the problem grow from a transaction-level headache to a weekly news headline.
So in 2013, we came together to change the fight against fraud by creating Rippleshot. We take a big-data machine learning approach that is familiar to search, genetics, and advertising and apply it in a novel way to the payment processing industry.
This approach helps banks, merchants, and processors monitor suspicious fraudulent activity proactively and implement smarter fraud risk management strategies when card compromises occur.
Our team is committed to our mission of making people feel secure about the financial information they’re using, storing, or transacting with. We’re actively involved in the fraud community as members of the International Association for Financial Crime Investigators (IAFCI) and the Federal Reserve’s Secure Payments Task Force.
Co-Founder & CEO
Co-Founder & Chief Scientist
Co-Founder & CTO
VP of Product and Client Solutions
Senior Data Engineer
Senior Software Engineer
Customer Success Manager
Enterprise Account Executive
Sr. Data Analyst
We support each other. We love learning. We take risks. We innovate. We like to collaborate and encourage each other in our goals and career aspirations.We are data scientists, engineers, financial analysts, runners, rowers, cyclists, amateur magicians, and would-be chefs.
We are fond of bad puns, silly memes, and lots of laughs. We hire friendly people. You will have the opportunity to expand your horizons, challenge yourself, impact our customers, and influence our company and culture.
In these uncertain times, we want to make our corner of the world less scary and full of beauty, wonder, and poetry (and science, too!). So we’d love to have you join the Rippleshot team!
Learn how to look past FPR and implement a data-driven, ROI-based equation when calculating the ROI of your decision rules.
Machine learning and automation are the key to ensuring your financial institution doesn’t fall behind when it comes to preventing card fraud.
The fight against fraud never ends. Every day fraudsters are finding new ways to infiltrate your card portfolio and charge illegal transactions on behalf of your customers. Since the threat never stops evolving, that means your tactics need to grow and advance as well. This is where machine learning and automation can be a game changer for your fraud operations.