Quantitative Finance, Risk Management Data Analyst
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Postgraduate university student studying Financial Risk Management MSc at University College London. A target-oriented and self-motivated student with several experiences in uniform teams, school teams, private tutoring, and voluntary work with an ability in critical thinking and analysis. A dependable and resilient employee who can work independently and in a team.
With advanced knowledge of programming and computing skills in mathematical, statistical, computational modelling, and different types of risk within the finance industry, and of the managerial issues related to risk control. Have worked on projects on topics of modelling operational risks with simulations and scenario analysis, identifying market trends with techniques such as time series and developing trading algorithms, etc. Experienced in programming languages such as R, Python, C++, SQL, MATLAB.
Business Intelligence Intern at WeLab Bank
I participated as a summer intern in the Business Intelligence department of
WeLab Bank. During the internship period, I had the opportunity to work with business professionals in the BI department including data analysts, data scientists, and data engineers over projects, daily operational tasks, and ad-hoc data requests. For example, data analysis of the association of different customers' behaviour upon receiving notifications from the mobile app.
I learned to program SQL to obtain the required data using BigQuery and perform hypothesis testing upon the t and the normal distributions. I also learned to report and visualize data using the Looker platform. In addition, I also worked with other departments on a project which aimed to improve the current marking campaign.
University College London, MSc Financial Risk Management
•Algorithmic Trading •Applied Computational Finance •Data-driven Modelling of Financial Markets •Financial Engineering •Market Risk and Portfolio Theory •Operational Risk Measurement for Financial Institutions •Probability Theory and Stochastic Processes •Quantitative Modelling of Operational Risk and Insurance Analytics
University of Bath, BSc (hons) Mathematics and Statistics
Achieved: Upper second-class(2:1)
Modules included: •Generalized linear models •Markov processes & applications - 80 •Stochastic processes & finance - 68 •Mathematical biology - 70
