Bank Specialist | Banking Regulation and Supervision Agency, Turkey
Furkan Turkoglu is a skilled banking professional with over five years of expertise at the Banking Regulation and Supervision Agency (BRSA), Turkey. He specializes in financial analysis, regulatory compliance, and advanced risk management. Furkan has contributed significantly by developing tech-driven tools, including a Power BI-based MIS and a Flask reporting system, to enhance institutional decision-making. With published work on monetary policy, exchange rate dynamics, and investment behaviors, he combines data science proficiency with economic insight. Proficient in Python, SQL, and Power BI, he applies predictive analytics and machine learning to financial modeling. His professional mission is to drive innovation in the evolving global finance sector through research-led policy design and cutting-edge technology integration. Passionate about quantitative finance and systemic risk modeling, Furkan continues to elevate the standards of financial supervision in Turkey through an interdisciplinary approach blending economics, technology, and policy.
Profile
Scopus
🎓 Education
Furkan Turkoglu holds a Master of Science in Data Science (expected May 2025) from Ozyegin University, Istanbul, with a GPA of 3.7. His coursework includes Applied Financial Economics, Machine Learning, Deep Learning, Fixed Income in Emerging Markets, and Derivatives Best Practice. This program equips him with analytical and modeling techniques essential for finance and regulation. Earlier, he earned a Bachelor of Arts in Public Policy Analysis from Sakarya University in January 2018. His academic foundation was built at Gungoren Anatolian High School in Istanbul, where he graduated in 2014. Throughout his academic journey, Furkan has shown a strong commitment to interdisciplinary learning, merging policy, economics, and data science. His educational path supports a seamless blend of theory and practice, preparing him for both regulatory leadership and research-driven innovation in finance.
💼 Experience
Furkan currently works as a Bank Auditor in the Supervision Department at BRSA since 2022, where he analyzes financial statements, assesses risk frameworks, and ensures regulatory compliance. He utilizes Python and SQL for advanced risk modeling, develops analytical tools, and conducts macroeconomic impact evaluations. From 2020–2022, he led supervision of İş Bank ($40B assets), contributed to regulation drafts supporting SMEs, and created sector-wide predictive models for deposit behavior and credit misuse. Earlier, in the Financial Consumer Department, he focused on regulatory oversight, complaint management during COVID-19, and enforcement against market abuse by financial institutions. His analytical acumen and regulatory insight are backed by strong data engineering, making him an invaluable bridge between policy design and operational implementation in Turkey’s banking ecosystem.
🏆 Awards and Honors
Furkan has been recognized for academic and professional excellence throughout his career. He earned certifications in Asset Liability Management (The Banks Association of Türkiye), Machine Learning with Python (Udemy), and Big Data Analytics from Istanbul Technical University. His dissertation for BRSA on “Monitoring Foreign Exchange Liquidity” demonstrates his policy-level thinking. He is also credited with designing a deposit growth forecasting tool and an MIS system implemented in BRSA operations. His publication on yield curve modeling and exchange rate forecasting reflects intellectual leadership in predictive analytics. Notably, his regulation proposal helped 820,000 SMEs during a critical economic period. These accolades demonstrate a rare blend of academic merit, regulatory foresight, and technical execution.
🔬 Research Focus
Furkan’s research focuses on the intersection of financial supervision, monetary policy, and data science. He specializes in predictive modeling of exchange rates using deep learning, risk modeling through Python, and macroeconomic forecasting. His recent work applies AI to understand Turkish household investment behavior and explores the relationship between yield curve parameters and monetary settings. With a keen interest in machine learning in finance, he aims to integrate data analytics into banking policy to enhance market stability and transparency. His ongoing academic interests include time series forecasting, credit risk quantification, and macroprudential supervision frameworks. By blending public policy analysis with data-driven insights, his research seeks to improve decision-making processes within financial institutions and regulatory bodies.
Conclusion
Furkan Turkoglu is a highly deserving candidate for the Best Researcher Award, given his impactful blend of regulatory insight, data science proficiency, and evidence-based policy contributions. His unique positioning at the intersection of finance, regulation, and AI-powered research makes him stand out among peers. With minor strategic expansions in publication outreach and academic collaborations, his profile aligns well with the award’s expectations for innovation, excellence, and applied research leadership in the banking and finance sector.
Publication
1. Title: The oversight on the relationship between monetary policy setting and exchange rate through yield curve modeling
Publication: Central Bank Review (2025)
Authors: (Unfortunately, the specific author names aren’t visible in the preview.)
Link: Available via ScienceDirect under the DOI ending S1303070125000095