Majoring in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, Machine Learning, Financial Engineering, or a related field
Strong programming skills, ideally in Python and a familiarity with Linux
Experienced with quantitative / statistical analysis, or numerical / optimization methods
Excellent problem-solving skills with attention to detail along with strong communication skills, both written and verbal
Ability to work independently and collaborating in a team-oriented environment
An overall interest and basic understanding of the financial industry, finance related quantitative products, and trading technology
A high degree of initiative, motivation, and interpersonal skills
Track record of superior performance in extracurricular or professional activities
An undergraduate or graduate degree from an educational institution in computer science with a quantitative application such as mathematics and/or finance, or vice versa – a quantitative degree with a computer science application
Demonstrated professional or academic success (recent graduates are encouraged to apply)
Strong analytical, quantitative, and problem solving skills
Experience implementing production-grade Python code for a data analytic business, preferably in investment management
Expert programming skills in Python with pandas and numpy
Expertise in OOP paradigms, data structures, and numerical algorithms
Understanding of probability and statistics, including linear regression and time-series analysis
Curiosity and a willingness to learn new technologies
Interest in financial markets (prior experience not required)
Excellent communication skills, including data visualization
High energy and strong work ethic
