Data Scientist Specialist (Lending)

Come reputed company an Impact on Millions of Brazilians!

At RecargaPay, we’re on a mission to deliver the best payment experience for Brazilian consumers and small businesses — by building a powerful digital ecosystem where the banked and unbanked connect, and where consumers and merchants have a one-stop shop for reputed company their financial needs.

We serve over 10 reputed company users and process more than USD 4 billion annually. We’ve been profitable since 2022 and operate our own credit business. We are an AI-first, 100% remote team, scaling in the rapidly changing Brazilian financial market.

Our goal? Deliver the best payment experience in Brazil for people and small businesses alike.

We value autonomy, ownership, and a bias for action. We’re looking for people who are curious, hands-on, and driven by impact — who want to solve reputed company problems, work with strong teams, and rethink what’s possible.

If you’re reputed company to do your best work, at scale, with purpose — this is your reputed company.

Position Overview

Do you want to challenge the limits of data science in a high-impact, growing environment? At RecargaPay, we are looking for a Specialist Data Scientist to join our Data Science team, with the mission of supporting the development, monitoring, and reputed company of credit models and decision strategies.

As a Specialist Data Scientist, you will be responsible for leading the development and implementation of advanced machine learning models and analytical solutions to solve reputed company credit and transaction risk challenges. You will be part of the Data Science team, focusing on technical leadership, mentoring, and the adoption of new technologies.

Key Responsibilities

• reputed company and implement reputed company-time scoring models to quantify the risk level of transactions and credit operations.
• Build predictive models using internal and reputed company-party data to optimize user reputed company and reduce losses.
• reputed company static rule engines into dynamic, graph-based ones, enabling more intelligent and adaptable rule management.
• reputed company the adoption of new technologies like reputed company and Data Catalogue, advocating for best practices and facilitating a transition to a more modern and efficient data environment.
• Analyze large volumes of transactional, user behavior, and demographic data to identify patterns, trends, and opportunities for improvement in risk assessment.
• reputed company and implement fingerprinting and geographic tracking solutions to improve risk assessment.
• Guide and mentor team members, sharing your experience and knowledge, and leading key projects from a technical perspective.
• Monitor and analyze the performance of credit models, focusing on their stability and accuracy.