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Senior Data Scientist – Risk Modeling (Senior Data Scientist – Modelado de Riesgos) - Hybrid
1 month agoClara
HybridFull-timePython - SQL
Senior Data Scientist role developing credit risk models for Clara's fintech platform across Latin America. Works with Risk, Data, Engineering teams using Python, SQL, Databricks to build predictive models for underwriting and portfolio management.
Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing company. We’re passionate about helping every company we work with become more effective—and, through that, raising the region’s competitiveness. We’re ~400 people, backed by Notable Capital, Coatue, Kaszek, monashees, DST Global, ICONIQ, General Catalyst and Goldman Sachs, among others.
What you'll do
We're looking for a
Senior Data Scientist – Risk Modeling
to join Clara’s Risk Data Science team. In this role, you will combine advanced analytics, machine learning, and credit risk expertise to develop and improve models and strategies that support underwriting, portfolio management, and risk decision-making across Clara’s markets.
You will work closely with
Risk, Data, Engineering, Finance, and Operations
, taking analytical problems from exploration and model development through validation, monitoring, and business implementation.
Your responsibilities will include:
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. Preferred qualifications are a bonus, not a requirement.
Must haves
Nice to have
Where we work
This is a hybrid role: you'll split your time between the office, customers and home. We don't set a minimum number of office days for most roles — you'll spend time in the office naturally, and most days during your ramp-up or when your leader asks.
If you meet the must-haves, apply — the nice-to-haves are a bonus, not a requirement.