Ivana Nikolic
Senior Quantitative Analyst @UBS
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WORK HISTORY
Senior Quantitative Analyst @UBS
Quantitative Analyst- Risk modelling, Algo trading model validation, Machine learning, Python, R, C++
EDUCATION
Mathematical high school, Belgrade Serbia
High School, Mathematics, Physics, Computer Science
University of Greenwich
Master’s Degree, Computational Mathematics
CQF Institute
CQF Level I
Ramapo College of New Jersey
Bachelor's degree, Mathematics
University of Greenwich
Doctor of Philosophy (Ph.D.), Computational Mathematics
CQF Institute
CQF Level II candidate
SKILLS
ABOUT IVANA NIKOLIC
With over four years at UBS, the focus has been on quantitative modelling, risk analytics, and tech project management. By leveraging expertise in risk modeling, mathematics, Python, R, PowerBI, Azure and C++, contributions include enhancing model validation, machine learning processes, and data analytics while supporting operational and strategic goals. Collaboration with stakeholders across divisions such as Group Risk Control, Investment Bank, and Group Treasury has been central to advancing quantitative methodologies and data-driven decision-making. Dedicated to fostering innovation in financial modelling, data science, and risk strategies, while actively contributing to cultural and inclusive initiatives as a diversity and inclusion ambassador.
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