Risk Analyst – Data Science & Analytics

📋 Description

• Analyse MSME commercial bureau and lender portfolio data to support use cases across acquisition
• Work with business-entity and facility/tradeline-level bureau information, including repayment and
• Translate a lender use case into a structured analytical design, including outcome/bad definition
• Develop and validate bureau-based credit-risk scorecards and predictive models for default/serious
• Engineer robust bureau variables from longitudinal and tradeline data, perform data-quality
• Evaluate model performance and stability using measures such as KS, Gini/AUC, lift and gains

🎯 Requirements

• Approximately 3+ years of experience in data science, credit-risk analytics, decision science or
• Direct experience with MSME/SME/commercial lending or commercial bureau analytics is required.
• Strong hands-on proficiency in Python for data manipulation, feature engineering, statistical
• Strong SQL skills, including independent extraction, transformation and analysis of large, granular
• Hands-on experience developing credit-risk scorecards or predictive models using techniques such as
• Practical knowledge of scorecard and model-development concepts such as binning, Weight of Evidence

🎁 Benefits

• Great compensation package and discretionary bonus plan
• Core benefits include pension, health Insurance and term life Insurance, Sharesave scheme and more
• 25 days annual leave with 13 bank holidays and 3 volunteering days
• You can also purchase additional annual leave