Senior Risk Analyst – Data Science & Analytics

📋 Description

• Lead end-to-end MSME bureau analytics engagements across acquisition, underwriting, risk
• Own the analytical design for complex use cases, including outcome / bad definition, observation
• Design advanced bureau variables from longitudinal business-entity and facility / tradeline
• Develop, benchmark and validate MSME credit-risk scorecards and predictive models using
• Lead portfolio diagnostics including vintage, cohort, roll-rate, risk migration, concentration
• Quantify the incremental predictive and business value of bureau variables, scores and analytical

🎯 Requirements

• Approximately 5-8 years of relevant experience in credit-risk analytics, data science, decision
• Advanced hands-on proficiency in Python and strong SQL, with demonstrated ability to build
• Demonstrated end-to-end ownership of credit-risk scorecard or model development, from target and
• Deep practical knowledge of scorecard and risk-model development, including binning, WoE / IV
• Strong command of validation and monitoring concepts including KS, Gini / AUC, lift / gains
• Strong MSME credit-risk and bureau-data expertise: delinquency / default definitions, underwriting

🎁 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
• You will report to Senior Analytics Consultant.
• Experian is an equal opportunities employer