Help & Supportcareers@gravityer.com
Quantitative Officer at EIB
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Amsterdam
Doctor of Philosophy (PhD), Computational Science
January 1, 2016 – January 1, 2020
The University of Edinburgh
Master of Science (MSc) with Distinction, Financial Mathematics
January 1, 2012 – January 1, 2013
National Technical University of Athens
BSc & MSc, Applied Mathematics
N/A – Present
European Investment Bank (EIB)
Quantitative Officer
January 1, 2022 – Present
Luxembourg, Luxembourg
University of Amsterdam
Postdoctoral Researcher
June 1, 2020 – May 1, 2021
ING
Quantitative Analyst - Financial Markets
June 1, 2019 – December 1, 2021
ING
Quantitative Researcher - Financial Markets
June 1, 2016 – May 1, 2019
BigDataFinance
Marie Curie Fellow
June 1, 2016 – May 1, 2019
The Randstad, Netherlands
Royal Bank of Scotland
Senior Analyst - Risk Analytics & Models
September 1, 2013 – May 1, 2016
Greater Edinburgh Area
Scottish Widows Investment Partnership
Dissertation Project Intern - SFRA
June 1, 2013 – August 1, 2013
Greater Edinburgh Area
Fasma Tuition
Mathematics Teacher
September 1, 2011 – September 1, 2012
Athens, Greece
Hellenic Army
Non Commissioned Officer, Special Forces
November 1, 2010 – August 1, 2011
Athens, Greece - Larnaca, Cyprus
Athens Exchange Group
Summer Intern, Market Operation & Member Support Department
June 1, 2010 – August 1, 2010
Athens, Greece
Hellenic American Educational Foundation Athens College-Psychico College
Teaching Assistant, Mathematics Department
November 1, 2008 – February 1, 2009
Athens, Greece
Exercising Leadership: Foundational Principles
HarvardX
June 24, 2026 – Present
Tackling the Challenges of Big Data
MIT Professional Education
June 24, 2026 – Present
Foundations of Banking Risk
Global Association of Risk Professionals (GARP)
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards quantitative finance and academic research. While this demonstrates a strong analytical mindset, the lack of explicit project details or diverse industry experience outside of finance makes it difficult to fully assess cultural fit for a general 'Data Analyst' role. The military background suggests discipline and resilience. The certifications indicate a proactive approach to learning and professional development.
Soft Skills & Operational Fit
The candidate's extensive experience in quantitative roles and academic research suggests strong analytical thinking, problem-solving, and attention to detail. Roles like 'Postdoctoral Researcher' and 'Quantitative Officer' imply self-direction and the ability to work with complex data. However, specific soft skills like teamwork, leadership, or communication in a business context are not explicitly detailed in the provided data.