Citi Handlowy is seeking a Credit Risk Analytics & Strategy Analyst with 5-8 years of experience in advanced analytics, credit risk, and data science. The ideal candidate will possess strong skills in SAS, SQL, and Python, and will contribute to developing and validating strategies for credit risk. This position offers a significant opportunity for impact in a high-visibility role within the risk management domain
Job Summary
The role involves developing, enhancing, and validating methods for measuring and analyzing credit, market, and operational risks.
Candidates must apply advanced statistical techniques including segmentation, regression, and simulation to drive risk strategy adjustments.
The position requires a balance of 50% strategic analytics and 50% data processing with high visibility on relevant risk decisions.
Matching Summary
Match Score: 85
Citi Handlowy is seeking a Credit Risk Analytics & Strategy Analyst with 5-8 years of experience in advanced analytics, credit risk, and data science. The ideal candidate will possess strong skills in SAS, SQL, and Python, and will contribute to developing and validating strategies for credit risk. This position offers a significant opportunity for impact in a high-visibility role within the risk management domain.
Skills & Requirements
Must-have
5-8 years experience in credit risk
Expert proficiency in SAS programming
Advanced SQL and Python skills
Statistical modeling and data mining
Predictive modeling for risk strategies
Nice-to-have
Experience with fraud detection models
Knowledge of Agile/Scrum methodologies
Big Data and Data Science exposure
Strong executive presentation skills
Intermediate to advanced English proficiency
Key Requirements
Bachelor's degree in quantitative field (Actuarial, Math, Finance, Engineering)
5 to 8 years of professional experience
Deep understanding of databases and data quality validation