I believe being a successful quantitative researcher boils down to exemplifying a few key qualities. First, you need to have a strong technical background. In my undergraduate program, I studied mathematical finance, statistics, machine learning, and computer science, pairing the breadth of topics with as much depth into each topic as I could manage. Second, you need to have strong experience applying said technical background to problems encountered in the industry. My work this summer in applying Python and artificial intelligence to drive new insight on data gathered for fixed income portfolios at my Blackrock internship is one example of how I continue to build my experience using my strong depth of knowledge for financial markets. Third, you need to stand out elsewhere too. Having led multiple organizations and competed in debate competitions with a team from high school to university, I am uniquely capable of leadership, teamwork, and communication. My passion for challenging myself to learn something new everyday and hone my skills is evident in my recent projects, but also with hobbies too. I love to try new cuisines and cook new recipes, and to make sure to perfect my favorite newly learned recipes I continue to practice them. Two of my best are scrambled eggs and tres leches cake, both of which I’ve been making for 5 years. I look forward to connecting with you virtually or in-person to show why I will be someone worth investing in to solve the quantitative research problems at your team.
