I'm Sofia Giantsidi, a PhD candidate in Applied Economics at the University of Pavia_Phone details not available. Sign in: https://www.twine.net/signup_), with a focus on machine learning, time series forecasting, and adaptive optimization for high-risk, nonlinear systems such as financial markets. I design robust, dynamically stable, and interpretable predictive models for financial forecasting, bridging machine learning, system dynamics, and financial econometrics. I also explore deep learning architectures, particularly Echo State Networks, using chaos-aware diagnostics and metaheuristic optimization to improve robustness and explainability. My background spans empirical analysis, quantitative research, and high-quality academic writing, complemented by professional experience as an Analyst in Morgan Stanley's Securities Lending Group. There I reconciled high-volume cash and stock positions, managed intraday trade pre-matching and resolution of failures, and served as the primary contact for Borrowers and Lenders, ensuring risk controls and timely settlements.

Sofia Giantsidi

I'm Sofia Giantsidi, a PhD candidate in Applied Economics at the University of Pavia_Phone details not available. Sign in: https://www.twine.net/signup_), with a focus on machine learning, time series forecasting, and adaptive optimization for high-risk, nonlinear systems such as financial markets. I design robust, dynamically stable, and interpretable predictive models for financial forecasting, bridging machine learning, system dynamics, and financial econometrics. I also explore deep learning architectures, particularly Echo State Networks, using chaos-aware diagnostics and metaheuristic optimization to improve robustness and explainability. My background spans empirical analysis, quantitative research, and high-quality academic writing, complemented by professional experience as an Analyst in Morgan Stanley's Securities Lending Group. There I reconciled high-volume cash and stock positions, managed intraday trade pre-matching and resolution of failures, and served as the primary contact for Borrowers and Lenders, ensuring risk controls and timely settlements.

Available to hire

I’m Sofia Giantsidi, a PhD candidate in Applied Economics at the University of Pavia_Phone details not available. Sign in: https://www.twine.net/signup_), with a focus on machine learning, time series forecasting, and adaptive optimization for high-risk, nonlinear systems such as financial markets. I design robust, dynamically stable, and interpretable predictive models for financial forecasting, bridging machine learning, system dynamics, and financial econometrics. I also explore deep learning architectures, particularly Echo State Networks, using chaos-aware diagnostics and metaheuristic optimization to improve robustness and explainability.

My background spans empirical analysis, quantitative research, and high-quality academic writing, complemented by professional experience as an Analyst in Morgan Stanley’s Securities Lending Group. There I reconciled high-volume cash and stock positions, managed intraday trade pre-matching and resolution of failures, and served as the primary contact for Borrowers and Lenders, ensuring risk controls and timely settlements.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Greek, Modern
Fluent

Work Experience

Analyst, Securities Lending Group at Morgan Stanley
January 1, 2019 - September 30, 2020
Reconciled high-volume cash and stock positions, ensuring accurate collateral movements for equity trades. Managed pre-matching of trades and resolution of failing trades, under tight intraday deadlines. Served as primary contact for Borrowers and Lenders, demonstrating strong communication and risk awareness. Ensured the firm was not exposed to Lenders at the end of day, by meeting frequently shifting deadlines.

Education

PhD in Applied Economics at University of Pavia, Italy
January 1, 2021 - January 6, 2026
Master of Science in Quantitative Finance at University of Strathclyde, UK
January 1, 2017 - January 1, 2018
Bachelor of Science in Mathematics at Aristotle University of Thessaloniki, Greece
January 1, 2012 - January 1, 2017
PhD in Applied Economics at University of Pavia, Italy
January 1, 2021 - January 1, 2025
Master of Science in Quantitative Finance at University of Strathclyde, UK
January 1, 2017 - January 1, 2018
Bachelor of Science in Mathematics at Aristotle University of Thessaloniki, Greece
January 1, 2012 - January 1, 2017

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Professional Services, Software & Internet, Other