Full Time Posted 6 hours ago

Closes: July 25, 2026

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JOB DETAILS

Requirements

Experience with the Python data science stack: NumPy, Pandas etc.
Experience with numeric data storage methodologies, e.g., hdf5
Experience of working in a Linux environment
Strong knowledge in computer networking, e.g., UDP, multicasting
Ability to understand financial models and mathematical algorithms.
Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
Experience or interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.

Responsibilities

Develop and enhance trading applications by designing, implementing, and delivering complex software systems that meet the business needs.
Solve complex problems by providing innovative and scalable solutions with a focus on high frequency and low latency automated trading.
Bring/gain a thorough understanding of the business domain (trading, strategies, market making, market data and low latency).
This is a hands-on role where you will thrive on the technology challenges. You will see your ideas and hard work used by experienced traders across a diverse range of instruments and markets.
Develop, maintain and deploy analytical tools (Python) that will directly influence trading strategies.
Source, cleanse, develop and maintain data pipelines as required the trading teams.
Experience with processing of large and varied data sets
Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets.

Desired Qualifications