Lendbuzz
Machine Learning Scientist (Financial Scoring)
About this role
Lendbuzz seeks a Machine Learning Scientist to develop innovative credit scoring models that expand financial access for underserved borrowers. You'll combine software engineering expertise with statistical rigor to build fair, personalized financial solutions in a mission-driven environment.
What you'll do
- Design and develop machine learning models for financial scoring and credit assessment
- Analyze large datasets to uncover patterns and improve model performance
- Collaborate with cross-functional teams to implement ML solutions into production systems
- Evaluate model fairness and bias to ensure equitable lending outcomes
- Conduct statistical testing and validation of model results
- Document and communicate technical findings to both technical and non-technical stakeholders
What they're looking for
- Machine learning and statistical modeling
- Software development and engineering best practices
- Data analysis and manipulation
- Python or similar programming languages
- Financial domain knowledge (preferred)
- Critical thinking and problem-solving
- Clear technical communication
- SQL or database querying
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Lendbuzz
Lendbuzz builds financial technology solutions that expand credit access for underserved borrowers through innovative credit scoring and lending platforms. The company is hiring Machine Learning Scientists to develop credit models and full-stack engineers to build backend systems and user-facing experiences.
View all jobs at LendbuzzLikely interview questions
- Describe your experience building and deploying machine learning models in production. What challenges did you face with model monitoring and drift detection?
- How would you approach developing a fair and unbiased credit scoring model, and what techniques would you use to identify and mitigate bias?