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Tech Stack
Tools & technologiesKerasPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design, build, and optimize Machine Learning models powering origination, behavioral scoring, limit management, and early-warning systems
- Leverage alternative data sources including transaction behavior, merchant data, and device intelligence to improve predictive performance
- Evaluate and implement the infrastructure required to deploy, monitor, and retrain models at scale
- Explore the applications of novel architectures (transformers, foundational models, etc.) for credit risk and related tasks
- Collaborate with cross-functional teams to identify opportunities for data-driven insights and solutions
- Work with other members of the Credit Risk team to build credit policies across the full customer lifecycle: origination, limit management, restructuring, and write-offs
- A lot of autonomy and ownership: you will own at least one Machine Learning model end-to-end
- Communicate findings and insights to technical and non-technical stakeholders
Requirements
What you’ll need- Master's degree or above in Data Science, Computer Science, Statistics, Mathematics, or a related field
- 5+ years of experience in Data Science, Machine Learning, or a related field
- Strong proficiency in Python and SQL
- Experience with Machine Learning libraries such as Scikit-Learn, XGBoost, TensorFlow, Keras, and Pytorch
- Experience owning models or analytical systems end to end, including performance monitoring, retraining, documentation, and stakeholder alignment
- Comfort using AI coding assistants, such as Claude Code and Codex, to improve productivity
- Proficiency in data analysis, visualization, and manipulation tools such as Pandas, Matplotlib, and Seaborn
- Optional, but a plus: Experience with credit risk, fraud, underwriting, lending, financial services, or another regulated decisioning domain
- Experience with dbt (Data Build Tool) to transform SQL data
- Experience working with novel, transformer-based architectures
- Strong problem-solving skills and the ability to think creatively
- Ability to communicate model tradeoffs, risk implications, and business impact to technical and non-technical stakeholders
Benefits
Comp & perks- Competitive salary based on performance and experience
- Chance of earning Klar stock options
- 26 days of paid vacation per year
- Computer device
- International work environment with amazing and highly skilled people
- A world class team that helps you evolve your skills in areas you're interested in
- Wellhub subscription to offer mental and physical health
ATS Keywords
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Hard Skills & Tools
Machine LearningPythonSQLScikit-LearnXGBoostTensorFlowKerasPytorchdata analysisdata visualization
Soft Skills
problem-solvingcreativitycommunicationcollaborationstakeholder alignmentautonomyownership
Certifications
Master's degree in Data ScienceMaster's degree in Computer ScienceMaster's degree in StatisticsMaster's degree in Mathematics