Risk Manager

Your Background

• Knowledge of Data analysis, theory and multivariate statistical techniques
• Degree or equivalent experience in Statistics, Mathematics or related area
• Experience and competence in the use of computer based software statistical package (e.g: SAS (Statistical Analytics System), R, Python or SQL). 
• Previous coding is an advantage
• Fully understanding of Credit Risk Processes and Strategies

• Development of Impairment, PD, EAD and LGD models 
• Help optimize credit management strategies, automated decision / scorecard management in line with ongoing digital strategies, and portfolio analytics, modelling and reporting
• Maintenance and enhancement of aligned modelling data sets utilized for purposes of Credit risk analytics department.
• Collaborate with different units across the company (business, IT, other Risk departments) in order to keep abreast of new business initiatives and proactively identify any potential Credit Risk impacts
• Identify and use cutting edge technologies to develop decision tools on digital banking projects

• Attractive salary
• Being part of digital transformation project that will change the local banking industry
• Work-life balance and flexible schedule
• Modern office in The Bridge