Advisory Quantitative Trainee

KPMG Türkiye

• Undergraduate degree / in quantitative disciplines and willing to pursue a career in finance/financial risk management, e.g. Computer Engineering, Software Engineering, Mathematical Engineering, Mathematics, Industrial Engineering and Management Engineering
• Strong quantitative skills and qualitative analysis capabilities.
• Solid computer skills. Experience with standard statistical software/computing languages (SQL, SAS, VBA, Matlab, R) and large dataset handling is a must. SAS programming is highly preferred.
• Clear thinking, good business sense and judgement.
• Strong interpersonal skills.
• Excellent oral and written communication skills.

İŞ TANIMI

• The successful candidate would work with a new and expanding group that designs, implements, and operates algorithms to produce unique client-facing data sets and uses quantitative techniques to drive significant internal productivity and quality improvements in risk management systems. 
• The successful candidate would be responsible for developing, implementing, testing and operating applications and processes that produce and evaluate data and models. This is a highly collaborative position, requiring frequent interaction with a variety of teams across the line of business.