
Senior Analyst, Modeling
Posted Sep 1

Posted Sep 1
This is a fully remote position, open to applicants in Texas.
• Create statistical and Machine Learning models for credit, risk, and various analytical applications.
• Oversee the complete model development lifecycle, from data exploration and preparation to validation, documentation, and deployment.
• Work with extensive structured and unstructured datasets, pinpointing opportunities to create value.
• Assess model performance using statistical and business metrics, recommending ongoing enhancements.
• Collaborate with Product, Engineering, Analytics, Sales, and Client teams to convert business requirements into analytical solutions.
• Monitor model performance in production and suggest strategies for monitoring, recalibration, and evolution.
• Contribute to the sharing of best practices in modeling, programming, and analytics governance.
• Act as a technical reference for junior analysts, aiding in their development.
• Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, Economics, Physics, or a related discipline.
• Extensive experience in developing statistical and/or Machine Learning models.
• Familiarity with credit modeling (Application, Behaviour, Collections, or regulatory models) is a notable advantage.
• Proficient in Python and/or SAS.
• Experience with SQL and managing large datasets.
• Understanding of supervised and unsupervised Machine Learning techniques.
• Knowledge of applied statistics, model validation, and metrics such as KS, Gini, AUC, and PSI, among others.
• Experience using Git or other version control systems.
• Excellent communication skills, capable of presenting technical results to varied audiences.
• Familiarity with PySpark, Databricks, or distributed environments.
• Understanding of MLOps and deploying models into production.
• Experience with models based on alternative data.
• Knowledge of regulations regarding credit risk management.
• Analytical and problem-solving mindset.
• Intellectual curiosity and a passion for innovation.
• Ability to convert data into business insights.
• A collaborative team player.
• Proactive attitude and a strong sense of ownership.
• Comfortable working in fast-paced environments with multiple projects.
• Remote work.
• Inclusive, purpose-driven workplace.
• Opportunities for career advancement and professional experiences.
• Environment that promotes balancing career with personal commitments and interests.
• Focus on well-being.
• Great Place To Work™ recognition.
• Top Employers certification.
• 4.6 rating on Glassdoor.
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