Quant machine learning scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Imperial College London
PhD, Computing
January 1, 2012 – January 1, 2016
Aristotle University of Thessaloniki, Greece
Engineering Diploma (M.Eng.), Electrical and Computer Engineering
January 1, 2005 – January 1, 2011
BlueCrest Capital Management
Machine Learning Quant
November 1, 2023 – Present
Amazon
Applied Scientist
April 1, 2021 – May 1, 2023
Secondmind
Applied Scientist
April 1, 2020 – March 1, 2021
Secondmind
Senior Machine Learning Researcher
December 1, 2016 – April 1, 2020
Imperial College London, Computing Department
Research Assistant, ibug group
September 1, 2012 – November 1, 2016
South Kensington, London
Epione Team (Aristotle University of Thessaloniki)
R&D
November 1, 2009 – September 1, 2012
Aristotle University of Thessaloniki
Cultural Fit Analysis
The candidate's experience is heavily skewed towards Machine Learning, Applied Science, and Quantitative roles, which are distinct from a traditional Data Analyst role. While there's a strong analytical foundation, the direct alignment with typical Data Analyst responsibilities (e.g., SQL, dashboarding, business intelligence, specific data visualization tools) is not evident from the resume. This suggests a potential mismatch with the target role's day-to-day activities, despite a strong technical background.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data was provided for evaluation.