Introduction
My name is Nicholas Yuwono, and I'm originally from Indonesia. I earned my BA in Computer Science from Cornell University, where I also pursued a Minor in Business. Beyond my academic/work interests, I’m a big foodie who loves exploring different cuisines, and I enjoy playing badminton and coding in my free time.
During my college years, I had the opportunity to work as a Teaching Assistant for courses in Data Science, Functional Programming, and Microeconomics. These experiences helped me develop a strong foundation in both technical and analytical skills. I then secured a summer internship as an analyst at a trading firm, which was a pivotal moment in my career journey. That internship experience led to a full-time offer after I graduated, setting me on my current career path.
Interestingly, I initially aimed to pursue a career in software engineering. However, I found myself increasingly drawn to the dynamic world of finance and trading. Today, in my full-time role, I analyze companies and future events that could influence stock performance, trying to predict market trends and react to incoming news. It’s a job that’s both challenging and exhilarating, as no two days are ever the same.
Business Intelligence Fellow
career options
The financial analysis career path offers a variety of exciting career paths for those interested in the intersection of business, economics, and technology. Here are some career options that you might consider if you're looking to enter this dynamic field.
Business Intelligence Fellow
skills
What are the main hard skills you use on a daily basis in your current job?
I use data analysis and statistical modeling to interpret vast amounts of financial data, identify trends, and make predictions. I learned these skills through coursework in data science and functional programming, as well as hands-on experience during my internship and full-time role. I apply them daily to evaluate company performance, forecast market trends, and develop trading strategies.
Proficiency in programming languages like Python and R is essential for automating data analysis, building financial models, and implementing algorithms. I honed my programming skills during my Computer Science degree and through practical projects. In my role, I use programming to streamline data processing, backtest trading strategies, and create tools for financial analysis.
Financial modeling and valuation are crucial for assessing the value of companies and investment opportunities. I developed these skills through my minor in Business and further refined them during my internship and full-time role. I use financial modeling to build detailed projections, perform scenario analysis, and support investment decisions by estimating the intrinsic value of assets.
What are the main soft skills you use on a daily basis in your current job?
Analytical thinking is crucial for breaking down complex problems, identifying patterns, and making data-driven decision. I developed this skill through my coursework in Computer Science and my experience as a Teaching Assistant. In my role, I use analytical thinking to assess market conditions, evaluate investment opportunities, and devise trading strategies.
Problem solving under uncertainty involves making decisions with incomplete information and anticipating potential outcomes. I enhanced this skill through my work in finance and trading, where market conditions are often unpredictable. I apply problem-solving skills to navigate market volatility, develop robust investment strategies, and make informed decisions despite uncertain conditions.
The fast-paced nature of the finance and trading industry requires the ability to quickly adapt to new information and changing conditions. I learned adaptability through my internship experience and by working on diverse projects in my full-time role. I apply this skill daily to react to market news, adjust trading strategies, and stay ahead in a dynamic environment.
Nicholas
’s personal path
Tell us about your personal journey in
Business Intelligence Fellow
:
Studying Computer Science was a natural choice for me due to my fascination with technology and its problem-solving potential. My interest in coding began in high school, where I enjoyed competitive programming questions through platforms like HackerRank and LeetCode, relishing the logical thinking and creativity involved. At Cornell, I complemented my technical studies with a Minor in Business to understand the broader economic and organizational context, providing a well-rounded foundation for my career in finance.
My job search journey was a blend of perseverance, learning, and unexpected opportunities. Initially aiming for a career in software engineering, I discovered a growing interest in finance and trading during my undergraduate studies, leading me to explore relevant courses and activities. The turning point was securing a summer internship at a trading firm, which confirmed my interest in finance.
Utilizing platforms like LinkedIn and my university's career services was crucial for finding opportunities. Networking with alumni and attending career fairs also played a role in gaining insights and connections. To prepare for interviews, I spent a lot of time reading interview prep books and doing as many practice questions as possible to ensure I'm well-prepared and get a better sense of what the job entailed.
What would you tell your younger you regarding building your current career?
If I were to give my younger self some advice, I would say: "Stay curious, open-minded and don't be afraid to explore other interests (college is the best time to do so!). Embrace the journey of learning as the skills you build along the way will be invaluable. Rejections and setbacks are part of the process; Your hard work and perseverance will pay off, leading you to opportunities that align with your passions and strengths.”
Final thoughts & tips
Pursuing a career in finance is challenging and rewarding. Embrace the learning process; mastering mathematical models, programming skills, and market dynamics is invaluable. Stay curious and continually seek new information. This field rewards dedication and drive, so keep pushing forward, stay adaptable, and believe in your potential. Good luck!
Resources to dig in more
A Practical Guide to Quantitative Finance interviews Book
The book provides a thorough overview of the key concepts, problem-solving techniques, and mathematical principles essential for success in quantitative finance interviews. It will help you zero in on the key concepts that are frequently tested in such interviews.
Trading Volatility: Trading Volatility, Correlation, Term Structure and Skew
This book summarizes volatility trading strategies as well as theoretical fundamentals, including strategies for managing risks and understanding market dynamics. It equips candidates with advanced concepts and practical approaches to volatility, enhancing their ability to discuss and apply these topics confidently.
Cracking the Coding Interview: 189 Programming Questions and Solutions
This book provides an extensive collection of programming problems and detailed solutions, designed to help candidates excel in technical interviews. This book is particularly useful as it strengthens problem-solving skills and enhances programming proficiency, both of which are critical for success in the quantitative finance field.
