About Stori
Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington Virginia, Mexico City, and Asia. We have quickly made our mark as one of the top digital banks in Mexico with more than two million applicants for our credit card product since launching.
Stori is one of the top-funded startups in the region with US$250 million raised to date. We are backed by top global venture capital funds, such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Mexico’s Tresalia Capital, Vision Plus Capital, BAI Capital and Source Code Capital; who have successfully invested in startups such as Affirm, Airbnb, Alibaba, Stripe, and TikTok.
Stori has a standout founder team among fintechs, leveraging 100+ years of accumulated experience in consumer finance, banking and technology across Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC in the U.S., Mexico and Asia. The team has launched and managed many multi-million-customer credit card products globally, providing a wide breadth of experience and knowledge to our team.
We welcome diversity of background, experience and thinking. Storians are passionate about our mission and take pride in the products we build. Our culture thrives off of a flat structure and an inclusive environment where all of our employees can be their authentic selves, with boundless opportunities for professional growth.
About the Role:
This role reports directly to the Head of the Data Science and Machine Learning Department and functions as a crucial horizontal support element for the Fraud department. The team is tasked with fraud detection and prevention across key processes, which include applicant onboarding, various transactions, and card management.
Key Responsibilities:
As the data scientist manager and a lead in the fraud department, you will
- Collaborate with a cross-functional team of analysts, engineers, and agents to detect fraudulent activities within large datasets, including both structured and unstructured data;
- Manage the development of production models from inception to implementation, in coordination with MLOps, Data Engineering, and Engineering teams;
- Influencing the business agenda within the fraud domain through your expertise in machine learning, contributing to the rapid growth of the company's product offerings and enhancing card transaction experience.
- Mentor junior analysts and data scientists, providing guidance in both analytical and modeling domains.
What we are looking for
- Experience:
- Bachelor’s or Master’s degree in Economics, Finances, Statistics, Mathematics, Physics, or other quantitative discipline;
- 5+ years of experience in data analysis, utilizing Python and SQL programming.
- 5+ years of hands-on experience in developing and implementing Machine Learning models and algorithms;
- 2+ years of experience with big data and cloud technologies, including but not limited to Hadoop, Spark, and AWS;
- 2+ years of practical experience in Fraud detection or prevention.
- Skills and attitudes
- Proven ability to drive projects independently;
- Solid oral and written communication skills, particularly in conveying analytical concepts and methods;
- A collaborative team player who excels in effective communication, cross-functional collaboration, and aligning efforts for the company’s overall benefit;
- Exhibits a demonstrated capacity to perform under pressure, meet tight deadlines, and respond proactively, decisively, and flexibly to challenges;
- Possesses a deep passion for data, a keen interest in business operations, and an ever-ready attitude to confront problems head-on.
- Bonus Points:
- 3+ years of experience in the credit industry;
- Demonstrated experience collaborating with product managers and backend engineers for the execution and monitoring of model based decisioning system;
- A proven track record of quickly mastering new technologies, concepts, and tools, especially in the areas of machine learning and artificial intelligence.
What we offer
- Make a positive impact on the lives of our customers via financial inclusion
- Professional development opportunities
- International exposure & work experience
- Company swag
- Legally required benefits
