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Commission Hedge Fund Python information

What are the key skills and qualifications needed to thrive as a Commission Hedge Fund Python Developer, and why are they important?

To thrive as a Commission Hedge Fund Python Developer, you need a strong background in Python programming, quantitative analysis, and a solid understanding of financial markets, often supported by a degree in computer science, engineering, or finance. Experience with financial data platforms, trading systems, and libraries such as NumPy, pandas, and SQL is typically required, and certifications like CFA or FRM can be advantageous. Excellent problem-solving skills, attention to detail, and the ability to collaborate in high-pressure environments are crucial soft skills. These competencies are essential for developing robust trading algorithms, ensuring data accuracy, and driving profitability in a competitive hedge fund setting.

What are the typical responsibilities and collaborative dynamics for a Python developer working on commission at a hedge fund?

As a Python developer on commission at a hedge fund, your core responsibilities typically include developing and maintaining automated trading systems, optimizing data pipelines, and implementing quantitative models. You'll collaborate closely with quantitative analysts, traders, and other developers to translate trading strategies into efficient code. The role often requires adapting quickly to evolving market conditions and tight deadlines, while ensuring the reliability and performance of your solutions. Regular code reviews and brainstorming sessions are common, providing opportunities for learning and professional growth within highly specialized teams.

What is a Commission Hedge Fund Python developer?

A Commission Hedge Fund Python developer is a software engineer who specializes in using the Python programming language to build and maintain systems for hedge funds, particularly those related to commission calculations, trade automation, and data analysis. These professionals develop algorithms and tools that help hedge funds manage trading operations, optimize commission costs, and ensure compliance with financial regulations. Their work often involves close collaboration with traders, quantitative analysts, and other technology teams to create efficient and reliable solutions tailored to the needs of the hedge fund industry.
What are the most commonly searched types of Hedge Fund Python jobs in New York? The most popular types of Hedge Fund Python jobs in New York are:
What are popular job titles related to Commission Hedge Fund Python jobs in New York? For Commission Hedge Fund Python jobs in New York, the most frequently searched job titles are:
What job categories do people searching Commission Hedge Fund Python jobs in New York look for? The top searched job categories for Commission Hedge Fund Python jobs in New York are:
What cities in New York are hiring for Commission Hedge Fund Python jobs? Cities in New York with the most Commission Hedge Fund Python job openings:
Commission Hedge Fund Python jobs near you
Infographic showing various Commission Hedge Fund Python job openings in New York as of June 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 62% Physical, 1% Hybrid, and 37% Remote job distribution.

C++ Quantitative Developer - HFT - Global Hedge Fund - Bonhill Partners

Bonhill Partners

Manhattan, NY • On-site

$54 - $72.75/hr

Full-time

Posted yesterday

Job description

C++ Quantitative Developer – High-Frequency Trading | Global Hedge Fund

Bonhill Partners are supporting a leading global hedge fund in their search for a C++ Quantitative Developer to join their High-Frequency Trading (HFT) team. This is a unique opportunity to work at the cutting edge of quantitative trading, leveraging your expertise to optimize performance in a fast-paced, data-driven environment.

Key Responsibilities:

  1. Design and implement a low-latency, high-frequency trading platform, handling real-time market data and executing trades globally.
  2. Contribute to the development of a research platform.
  3. Optimize parallel computation problems, ensuring efficient data sharing across distributed systems.
  4. Enhance the computational efficiency of machine learning algorithms.

Key Requirements:

  1. Strong experience in C++ and proficiency in Python.
  2. Deep understanding of data structures, algorithms, and object-oriented programming.
  3. Familiarity with cloud computing frameworks (AWS, GCP, or similar) is a plus.
  4. Linux and Bash scripting expertise.
  5. Experience with Go and Rust is advantageous.
  6. Exceptional problem-solving skills and a detail-oriented mindset.

This is an exciting chance to join a top-tier hedge fund at the forefront of algorithmic trading and quantitative research. If you're interested, please apply.

Looking forward to connecting!

Apply