Orçun öçalan
About Orçun öçalan
Orçun Öçalan serves as the Senior Manager for Middle East and North Africa in Global Risk Analytics at HSBC, bringing extensive experience in risk management and financial analysis. He holds multiple advanced degrees, including a Doctorate in Philosophy, and has worked in various roles across prominent financial institutions in Turkey and abroad.
Work at HSBC
Orçun öçalan has been serving as the Senior Manager for the Middle East and North Africa in Global Risk Analytics at HSBC since 2018. Based in London, he has accumulated six years of experience in this role. His responsibilities include overseeing risk analytics for the region, ensuring compliance with regulatory requirements, and implementing risk management strategies tailored to the financial landscape of the Middle East and North Africa.
Education and Expertise
Orçun öçalan holds a Doctorate in Philosophy, achieved in 2013, and has studied Economics, Financial Engineering, and Philosophy at Yeditepe University. He also earned a Master of Business Administration from Sakarya University between 2009 and 2012. His undergraduate degree is a Bachelor of Science in Industrial Engineering from Bilkent University, completed from 2001 to 2005. His educational background supports his expertise in various aspects of financial risk management.
Background in Risk Management
Öçalan has extensive experience in risk management, having worked in various roles across multiple financial institutions. He served as a Risk Manager and Model Validation Manager at Akbank from 2011 to 2014, where he focused on credit risk management. He also held positions at Denizbank as the Department Head of Corporate Risk Models and at Sabb in Wholesale Credit Risk Models. His experience encompasses operational, market, and asset/liability risk management.
Achievements in Financial Modeling
Orçun öçalan has developed expertise in several key areas of financial modeling, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) modeling. He is knowledgeable in both Point-in-Time (PIT) and Through-the-Cycle (TTC) modeling approaches. His proficiency in IFRS9 stress testing and scenario analysis enables him to assess the impact of economic changes on financial institutions effectively.
Data Analysis and Quantitative Research Skills
Öçalan is skilled in data analysis and data mining, which are essential for extracting insights from large datasets in the financial sector. He utilizes statistical techniques to support decision-making processes and has a strong background in quantitative research. His ability to analyze financial data through mathematical and statistical methods enhances his contributions to risk management strategies.