Singapore
Growing up, I've seen many people complaining about their jobs and wishing how they could have studied something different in the past. I consider myself to be fortunate for being able to study something I am interested and passionate in: Quantitative Finance. Doing something I enjoy motivates me to continuously improve and excel at it.Thus, I wish to be able to get a position as a Quantitative Analytic intern, where I can gain more experience in the Quantitative Financial sector. I am a current student in Singapore Management University, pursuing a Bachelors in Business with a major in Quantitative Finance. My education has equipped me with the following skills and knowledge to be able to perform in the finance sector. - Financial Analysis - Investment Analytics - Quantitative Research - Python Programming - Microsoft Excel and Microsoft Suite - Financial Reporting - Financial Accounting Personality traits - Curious - Determined Curiosity has always been a driving force behind my desire to learn. Coupled with my passion for Quantitative Finance, I am determined to broaden and deepen my knowledge and understanding of Financial markets and excel in my application of Quantitative Finance. - Well organized - Conscientious - Good Time Management I believe that these are also important skills for anyone in the finance sector whereby detail and accuracy of work is as important as managing the workload well. Interests I enjoy playing chess in my free time, a game that requires strategic thinking abilities and problem solving skills. It also improves my cognitive abilities and creativeness. These skills can benefit a company in a competitive market.
- Conducted personalized one-on-one tutoring sessions with students, specializing in financial topics, including portfolio management and financial asset valuation. - Translated intricate financial concepts into easily digestible explanations, fostering students' understanding and intuition in the subject matter. - Customized tutoring sessions to meet the unique learning needs of individual students, tailoring teaching methods to accommodate diverse learning styles.
- Conducted extensive data wrangling and data preprocessing across diverse datasets, utilizing the Pandas library to ensure data accuracy and reliability. - Streamlined and automated repetitive tasks, such as bulk booking of multiple facilities, using Python scripting. Enhanced operational efficiency and reduced manual workload by implementing automation solutions. - Produced clear and concise documentation for complex programming concepts, tailored for non-technical audiences. Enhanced communication and knowledge transfer to non-technical team members and stakeholders. - Quantitatively analyzed customer feedback data using natural language processing AI models to classify text topics and sentiments, identifying actionable improvements. Data analysis and technical programming skills are vital for effective for data-driven trading decisions and financial market analysis.
Updated and maintained customer database Consolidated and analyzed 1000+ customer information using Excel Kept track of budgets and invoices Conducted and analyzed market research and data for 3 marketing campaigns Data driven decisions through analytical and research skills are important for trading and research roles.