Tea Toradze, PhD

Bio

Tea Toradze, PhD, began her career in academic roles in Georgia, where she developed a strong foundation in analytical thinking and structured problem-solving. After relocating to the United Kingdom, she transitioned into finance and accounting operations, gaining hands-on experience in financial modeling, data reconciliation, reporting workflows, and audit support. Over time, she moved into more technical roles, building tools and automating processes through programming and data systems to enhance the reliability and efficiency of financial reporting. Today, she works with organizations to design, build, and implement systems that support quantitative analysis, data processing, and model validation. With a practical, systems-oriented approach, her work bridges the gap between financial insight and technical execution — focusing on solutions that enable automated reporting and data-driven decision-making. This blend of financial domain knowledge and technical execution has proven valuable in settings that emphasize quantitative thinking and data-driven decision-making.

Education

• MSc Financial Engineering – WorldQuant University – Washington, D.C., USA – 2020
• PhD, Mathematics – Tbilisi State University – Tbilisi, Georgia - 2001
• BSc, Mathematics – Tbilisi State University – Tbilisi, Georgia – 1997

Research

• "On the Fourier-Haar coefficients," 2000
• "On the Fourier coefficients with respect to Haar wavelets," 2000
• "Superposition of functions and the series of Fourier coefficients," 2000
• "On the Fourier-Haar coefficients of composite function," 1999
• Full citations on ResearchGate

Employment

• WorldQuant University – Instructor – 2021 to present
• Independent consultant in financial analytics and data infrastructure – London, United Kingdom – 2018 to present
• British Accreditation Council – Finance Manager – London, United Kingdom – 2016-2018
• Skybound Travels – Accountant/Systems Accountant – London, United Kingdom – 2013-2016
• Little School Daycare – Assistant Accountant – London, United Kingdom – 2012-2013
• Finlays – Accounts Intern – London, United Kingdom – 2012
• Private Tutor – London, United Kingdom – 2006-2011
• Georgian Technical University – Assistant Professor and Teaching Fellow/Lecturer – Tbilisi, Georgia – 2002-2006
• Tbilisi State University – Assistant Professor and Teaching Fellow/Lecturer – Tbilisi, Georgia – 1999-2003, 2004-2006

WQU Courses

• Financial Markets
• Financial Data
• Financial Econometrics
• Machine Learning In Finance

Fun Fact

Tea once designed data models with chalk on a blackboard and paper — not as a creative challenge, but because her office had no internet. She says it was less "retro computing" and more survival analytics. "Turns out," she says, "version control is much easier when everything’s on a blackboard."

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