Data Scientist (Financial AI)
Data Scientist (Financial AI)
Posted on :
22-08-2025
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1 Vacancy
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Job Description
At CloudWalk were building the best payment network on Earth (then other planets ). Were an AI-first fintech unicorn bringing justice to Brazils broken payment system. We work in a traditional financial sectorbut we aim to break conventions with bold innovative thinking.
Were looking for a Data Scientist who sees experiments not as tests but as conversations with reality. Youll design run and analyze credit experiments that shape real-time lending decisions helping millions of Brazilian entrepreneurs access fairer credit.
The Financial AI Team
- Were part of CloudWalks Financial Services domain powering money movement and credit decisionsincluding real-time credit engines repayment orchestration dynamic pricing and collections.
- We build and run scoring models underwriting systems and pricing logic that keep credit decisions fast fair and explainable
- We push toward event-driven AI-augmented decisioning where experiments directly shape credit limits default rates and merchant growth
- We believe in data-driven democratization of access to capital
- We put curiosity firstexploring before exploiting
- We solve puzzles that demand safety compliance explainability and speed all at once
What Youll Do
- Design and execute experiments for credit models with rigorous frameworks to measure business and merchant impact
- Build systematic experimentation infrastructuremetrics statistical methodologies and evaluation criteria for credit model performance
- Implement A/B testing systems with proper statistical power randomization and causal inference methods
- Analyze results from multiple model variations translating them into clear credit policy recommendations
- Develop scalable best practices balancing statistical rigor with business speed
- Collaborate with engineering to deploy and monitor experimental models in real-time decision engines with rollback safety nets
- Apply measurement science to link experiments to merchant success default rates and financial inclusion outcomes
- Bridge offline insights to production systems through careful validation and gradual rollout strategies
Technologies / Techniques Used
- Python for analysis modeling and statistical computing (core language in our stack)
- SQL for large-scale feature engineering on financial datasets
- Google Cloud Platform BigQuery for analytics infrastructure
- Statistical modeling & experimental design for credit risk evaluation
- Machine learning frameworks for classification and risk modeling
- MLflow for deployment and monitoring in production
- Docker & Kubernetes for orchestration with engineering teams
What Youll Need
- Curiosity initiative and a bias toward experimenting and learning fast
- Strong experimental design expertise (A/B testing causal inference measurement frameworks)
- Statistical rigor: power analysis bias detection multiple testing corrections
- Python proficiency for analysis modeling and statistical computation
- Measurement science skillsdesigning metrics and building robust evaluation frameworks
- Experience with machine learning for classification and risk modeling
- SQL skills for feature engineering and large dataset analysis
- Strong communication skills in English & Portuguese with ability to explain technical results to non-technical audiences
Nice to Have
- Experience with Google Cloud Platform and BigQuery
- Hands-on work in credit model experimentation and measurement in production fintech/digital lending environments
- MLOps experiencedeployment monitoring and experimentation at scale
- Background or experience in applied statistics or measurement science in business contexts (economics operations research etc.)
Recruitment Process Outline
- Online Assessment evaluating theory and logical reasoning
- Technical Case Study working with real-world financial data & experiments
- Technical Interview discussion & case presentation
- Cultural Interview alignment with CloudWalk values
If you are not willing to take an online quiz and work on a test case do not apply.
Diversity and inclusion:
We believe in social inclusion respect and appreciation of all people. We promote a welcoming work environment where each CloudWalker can be authentic regardless of gender ethnicity race religion sexuality mobility disability or education.
Employment Type
Full-Time
Key Skills
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