About Credix

Credix is a FinTech company dedicated to growing businesses in Latin America. Building on our expertise, we now focus on providing a tailored Buy Now, Pay Later (BNPL) solution for B2B transactions in Brazil with our platform, CrediPay. CrediPay is created to help business grow their sales and improve their cashflow efficiency through seamless and risk-free credit offering. Sellers offer their buyers flexible payment terms at an attractive price point and receive upfront payments. We manage and protect our clients from any credit & fraud risk, letting them focus only on what matters: increased sales and profitability.

Learn more about our team, culture, and vision on our company page.

Why choose Credix?

• Become part of a forward-thinking start-up where boldness and a commitment to excellence are paramount, and your personal and professional development is at the forefront.
• Work alongside a dedicated team of bright individuals driven by an Olympian mindset to excel in every aspect of our operations. Together, we aim to build with velocity, utilizing innovative embedded finance strategies to expand business operations in Latin America.
• Experience a close and supportive work atmosphere where collaboration thrives, wise judgment guides our decisions, and where you have the opportunity to learn, grow, and take on meaningful responsibilities.

About the job

We’re looking for a Senior Data Scientist to join our Risk & Collections team. You’ll operate with high autonomy, own critical problem areas, and deliver value that moves the needle - from credit performance to capital efficiency. This isn’t a research role. You’ll work side-by-side with engineering, product, and operations to deploy models, run experiments, and improve the core systems that decide:

• Who gets funded
• How and when we collect
• Where we allocate risk capital

You’ll report to the Head of Risk and collaborate closely with our data science and engineering team. You’ll work across the entire risk lifecycle - from first impression to final repayment - applying data science to maximize portfolio performance and capital efficiency. Your focus: deliver models and systems that make better decisions, earlier.

Qualifications

• 5+ years of experience applying data science to business-critical problems.

• Strong command of SQL, Python, and the practical use of ML techniques (e.g., classification, uplift modeling, time series, or embeddings).

• Experience deploying models in production - including versioning, validation, and post-deployment monitoring.

• Comfort working autonomously with a high bar for quality and impact.

• Experience working with product or engineering teams to embed model logic into live systems.

• Solid understanding of business economics: marginal value, yield, CAC/LTV, or credit-related KPIs.

Nice to have:

• Background in lending, collections, or credit analytics.
• Experience with experimentation frameworks or causal inference.
• Exposure to NLP or classification techniques (e.g., message quality prediction).

Languages:

• Fluent in Portuguese and English (written and verbal).

Core Responsibilities