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, serving as a horizontal support across various customer management areas. These areas include line management, customer experience, and collections.
Key Responsibilities:
As a lead in the area of advanced analytics and modeling:
- Guide and mentor a team of data scientists in analyzing complex datasets to derive meaningful insights;
- Collaborate with program business analysts to convert data-driven findings into practical business strategies;
- Transform business problems into actionable modeling challenges;
- Manage the development of production models from inception to implementation, in coordination with MLOps, Data Engineering, and Engineering teams;
- Strategically design and conduct tests to assess behavioral patterns or business hypotheses.
What we are looking for:
- Experience:
- Bachelor’s or Master’s degree in Economics, Finances, Statistics, Mathematics, Physics, or other quantitative discipline;
- Expert in SQL with proficiency in Python or another scripting language, with the interest and initiative to learn relevant new technologies;
- Experience building predictive models, customer lifetime value models, or other financial models (DCFs);
- Experience leading or collaborating with data scientists for business problem solving or model development;
- 2+ years of working experience in designing and executing A/B tests;
- 4+ years of work experience in data-centric or business modeling roles.
- 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 working experience in the credit industry;
- Demonstrated experience collaborating with product managers and backend engineers for the execution and monitoring of tests or decisioning processes;
- A proven track record of rapidly acquiring proficiency in new technologies, concepts, and tools.
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
