Responsibilities

Iterating quickly with on-site quantitative researchers on the research processes in order to improve the desk's quantitative trading strategies P&L Developing Python tools used in trading strategies research Improving the existing simulation/backtest framework Monitoring & maintenance of quantitative research jobs Help global research team on EMEA-related research through various communication channels

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). A Master's degree is preferred Very good knowledge of Python language and statistical libraries like Numpy, Pandas, Polars Minimum 5 years experience in Python development Strong problem-solving skills and the ability to work in a fast-paced, collaborative and geographically distributed environment Excellent communication and teamwork abilities

Nice to Have

Experience in C++ Development  Experience with scripting languages such as Bash Experience with workflow management and task scheduling Good knowledge of both Equities and Equity Derivatives trading

Benefits

Tower continues to enhance the in-house trading system and strategies that have positioned the firm as a leader in the thriving field of quantitative trading. While Tower offers challenges and rewards rivaling those of any Wall Street firm, Tower’s cubicle-free workplace, jeans-clad workforce, and well-stocked kitchens reflect the premium the firm places on quality of life. Benefits include:

Competitive salary and discretionary bonuses 6 weeks of paid vacation per year Breakfast, lunch, and snacks on a daily basis International medical insurance Free gym membership For employees ineligible to participate in the CPF, the cash equivalent of the employer’s CPF contribution Free events and workshops Donation matching program

Tower Research Capital is an equal opportunity employer