Algorithmic Trader Intern
Who We Are
Grupo Oricteropo Tropical (GO Tropical) is a Puerto Rican Act 20 company, established to provide services such as capital allocation, risk management, software development, and centralized management (“headquarters” for TransMarket Group) to its international affiliates and customers. We have the intensity and passion of a technology startup while maintaining our stability and storied history as a respected member of the global financial system for over 40 years.
Our mission is to bless others through the services we provide and through the generous stewardship of the wealth we create. The impact we make with the work we do drives our humility, discipline, and pursuit of opportunity.
GO Tropical is excited to provide a unique employment opportunity with our rapidly growing team in Aguadilla, Puerto Rico. Our long-term employee training and development proves we value our people and want them to succeed at all levels in their careers. We have an entrepreneurial culture and collaboratively develop our business with patience and discipline; we work hard, learn constantly, and relentlessly improve our expertise.
Description
As an Algorithmic Trader Intern, you will have the opportunity to learn and experience relative value arbitrage trading paired with innovative software. You will work closely with Junior and Senior Traders to assist and learn all facets of automated trading. From researching and analyzing high-frequency tick data and trading performance, to building mathematical models and performing time series analysis, you will experience a deep dive into real-time trading and gain exposure to build your expertise. The ideal candidate is intellectually curious, technically analytical, and has the desire to learn and apply programming skills in a fast-paced environment (Python, C++).
Responsibilities
- Work with Junior and Senior Algorithmic Traders to assist and learn all facets of automated trading
- Develop expertise in market microstructure, tick data, and automated trading systems
- Build and maintain trading quantitative model tools and analytics
- Learn and master programming languages
- Develop, code, maintain, and support production-quality automated trading strategies
- Engage in dynamic research projects and a formalized internship educational program
Requirements
- Pursuing a Bachelor's, Master's, or Doctorate in a technical field or pertinent industry experience, such as but not limited to STEM or Finance, with a graduation date between December 2026 and Spring 2027
- Required courses: Data structures, Probability, Statistics, and Linear Algebra
- Minimum major GPA of 3.5/4 or equivalent scale
- Proficiency and experience in object-oriented programming languages, C++, Python, and/or Java preferred
- Proficiency and experience in Linux scripting are a plus
- Demonstrated passion for markets, finance, and trading such as, but not limited to, personal trading, participation in trading competitions, attendance at firm discovery days, industry related student groups or clubs and/or prior internship experience preferred
- Project or internship experience in data analysis, quantitative modeling and/or machine learning
- Passion for math and software applied to markets and trading
- Strong understanding of computing, math, probability, statistics, and finance
- Strong work ethic and willingness to do what it takes to get the job done
- Excellent verbal and written communication skills
- Ability to work within a team in a fast-paced environment
- This position requires physical presence and is onsite at our office in Aguadilla, PR
View our resources to prepare for the interview process.
Benefits
We offer one of the most generous profit-sharing programs in the industry because we believe our employees should be able to take part in our rapid growth and success. We are proud to offer more world-class benefits for our employees and their families.
Grupo Oricteropo Tropical (GO Tropical) is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, gender, sexual orientation, gender identity or expression, religion, national origin, marital status, age, disability, veteran status, genetic information, or any other protected status.