Passionately analyse financial markets, build algorithms for trading; interest in Quantitative Analysis; Derivatives Pricing; Portfolio Management/Analysis.
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Morningstar
Data Scientist
June 16, 2026 – Present
pyPortfolioAnalysis
January 8, 2021 – January 26, 2021
'Portfolio Analysis, methods for portfolio optimization'
View Projectrportfolio
October 28, 2020 – October 28, 2020
Collection of tools to calculate portfolio performance metrics. Portfolio performance is a key measure for investors. These metrics are important to analyse how effectively their money has been invested. This package uses portfolio theories to give investor tools to evaluate their portfolio performance. For more information see, Markowitz, H.M. (1952), <doi:10.2307/2975974>. Analysis of Investments & Management of Portfolios [2012, ISBN:978-8131518748].
View Projectroptions
October 28, 2020 – October 28, 2020
Collection of tools to develop options strategies, value option contracts using the Black-Scholes-Merten option pricing model and calculate the option Greeks. Hull, John C. "Options, Futures, and Other Derivatives" (1997, ISBN:0-13-601589-1). Fischer Black, Myron Scholes (1973) "The Pricing of Options and Corporate Liabilities" <doi:10.1086/260062>.
View ProjectStock_prediction_app
September 26, 2019 – September 26, 2019
Stock_prediction_app — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in quantitative finance and portfolio analysis, which aligns well with a Data Scientist role in a financial context. However, the lack of diversity in project domains outside of finance might indicate a narrower range of interests or experience, potentially impacting adaptability to broader data science challenges. The current role at Morningstar is a strong indicator of cultural fit within the financial data science domain.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.