🛠 Tech Stack

💼 About This Role

You'll lead the design and delivery of predictive credit risk models for financial institutions, leveraging advanced data science tools. Your work will directly optimize underwriting decisions and improve lending operations through automated decision engines. This role offers the chance to impact core lending strategies at scale.

🎯 What You'll Do

• Clean and transform large, complex datasets for modeling
• Build classification, regression, and clustering models
• Optimize hyperparameters and validate model performance
• Deploy end-to-end analytical solutions from data to deployment

📋 Requirements

• 4+ years building predictive credit risk models in financial services
• Expert-level Python with Pandas, Scikit-learn, ML frameworks
• High-level proficiency in SQL for data manipulation
• Experience with model development, deployment, and monitoring

✨ Nice to Have

• Proficiency in AWS for model training and deployment
• Experience with MLOps practices
• Bachelor's or Master's degree in a quantitative field

🎁 Benefits & Perks

• 💰 Competitive salary with annual performance reviews
• 🏖️ Flexible remote work arrangements
• 📈 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min