Senior Credit Risk Data Scientist

Lead machine learning projects, own full cycle scorecard design and development, deploy new models, and collaborate with internal customers and partners.

Requirements

• University degree in STEM or data science
• Postgraduate degree in mathematics, statistics, data science or similar disciplines preferred
• Three plus years of professional experience focused on developing predictive scorecards and building ML models from real-world data
• Solid understanding of machine learning steps and modeling metrics
• Proficient in SQL, Python, and SAS programming language
• Experience with machine learning libraries like Pandas, XGBoost, scikit-learn, LightGBM or other similar ecosystems
• Hands-on exposure to modeling platforms like Enterprise Miner, Analytics Workbench or SPSS Modeler is a plus
• Comfortable with cloud-based data structures and tools like Azure, AWS and Databricks is a plus
• Background in manipulating large relational databases with detailed and granular information

Benefits

• Comprehensive benefits
• Retirement programs
• Performance incentives
• Continuing Education Programs
• Other perks to support your well-being
• Career growth opportunities
• Product discounts