Senior Quantitative Analytics & Model Analyst – C&IB – Commercial

Responsibilities

• Develop, implement, and maintain quantitative and machine learning models for analytics and decision support.
• Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems.
• Perform data analysis, feature engineering, model training, testing, and validation.
• Use Python to write clean, efficient, and well documented code for modeling and analysis.
• Evaluate model performance using appropriate metrics and ensure robustness and accuracy.
• Prepare presentations and written documentation to clearly communicate model methodology, results, and insights to technical and non technical audiences.
• Collaborate with cross functional partners to understand requirements and translate them into analytical solutions.
• Support model lifecycle activities, including enhancements, recalibration, and monitoring.

• 2–3+ years of professional experience in quantitative analytics, modeling, or a related role
• Strong Python programming and coding skills
• Solid foundation in mathematics and statistics
• Hands on experience with logistic regression and linear regression
• Experience applying machine learning techniques
• Proven experience developing and implementing models end to end
• Ability to build or demonstrate a portfolio of modeling or analytical work
• Bachelor’s degree in mathematics, Statistics, Quantitative Analytics, or a related quantitative field
• Strong presentation, communication, and documentation skills, with the ability to explain complex concepts clearly.
• Preferred:
  Experience with PySpark or working in distributed data environments
• Preferred:
  Banking or financial services experience
• Preferred:
  Knowledge of credit risk or portfolio metrics such as PD (Probability of Default), LGD (Loss Given Default), and EAD/ED (Exposure at Default)