Gympass
Gympass

Credit Data Science Specialist

datafull-timeBrazil (São Paulo - Remote)
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
Apply for this position
✦ AutoApply Let us apply to roles like this on your behalf.
Learn more

About the role

THE OPPORTUNITY

We are hiring a Credit Data Science Specialist in our Financial Solutions (New Initiatives) area in Brazil!

This is a Remote – Brazil position, meaning you can work from anywhere within the country. Please note that this role is only open to candidates in Brazil.

We are looking for a hands-on person with solid credit knowledge to join the Credit and Collections team. More than a purely technical profile, we need someone curious, who wants to understand how the business works and support it with data, information, and insights.

The Data Scientist will work in partnership with data engineers to build a data lake that is useful for modeling and for generating credit and collections policies. This person will be able to move from raw data to proposing rich variable books and features for the business - turning information into strategic advantage.

Among their main responsibilities, this person will create, implement, and monitor predictive models, as well as develop a cockpit of operational and managerial indicators to track the health and performance of the Credit and Collections Operation.

YOUR IMPACT

  • Risk & Churn Predictive Modeling: Develop and monitor Credit Scoring and Churn models by leveraging transactional data from the Wellhub platform, including the calculation of revenue trends using linear regression and 99% confidence intervals.
  • AI-Driven Credit Automation: Implement Generative AI and advanced algorithms to automate the credit analysis process, ensuring scalability while maintaining strict compliance with eligibility criteria and internal validation rules.
  • Portfolio Strategy & Backtesting: Conduct quantitative studies and backtesting on portfolio behavior (Vintages, Roll Rates) to optimize credit limits, interest rate pricing, and proactive retention strategies.
  • Collection Efficiency & Recovery: Analyze debt recovery performance and build propensity-to-pay models to segment the external collection strategy, including the financial feasibility analysis for judicial actions.
  • Financial Performance Reporting: Design real-time dashboards to track critical KPIs such as First Payment Default (FPD), Provision for Doubtful Accounts (PDD), and the effectiveness of debt renegotiations.
  • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

  • Quantitative Education: Bachelor’s degree in Statistics, Engineering, Economics, Mathematics, or Computer Science.
  • Data Science & AI Proficiency: Experience in Python, applying regression and classification algorithms to financial forecasting, c
✦ Let us apply for you
We find roles like this and apply on your behalf. Cover letter written for each one. Plans from $15/mo. Cancel anytime.
Get AutoApply
Apply now