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Hedge Fund Python Jobs in New York (NOW HIRING)

Quant Developer- Muni Bonds

Greenwich, CT ยท On-site

$100K - $150K/yr

Verition Fund Management LLC ("Verition") is a multi-strategy, multi-manager hedge fund founded in ... The ideal candidate has strong Python skills, solid engineering fundamentals, and is comfortable ...

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Hedge Fund Python information

What are typical projects or responsibilities for a Hedge Fund Python developer?

Hedge Fund Python developers are often tasked with designing and implementing quantitative models, automating trading strategies, analyzing large financial data sets, and optimizing performance of trading systems. They collaborate closely with portfolio managers, researchers, and other technologists to translate complex investment ideas into robust, scalable code. A typical workday may involve troubleshooting data pipelines, enhancing risk analytics tools, or integrating new data sources. This role provides opportunities to have a direct impact on investment outcomes and gain exposure to innovative financial technologies.

What are the key skills and qualifications needed to thrive in the Hedge Fund Python position, and why are they important?

To excel as a Hedge Fund Python developer, you need strong proficiency in Python programming, quantitative analysis, and a degree in computer science, mathematics, or a related field. Familiarity with libraries like NumPy, pandas, and financial systems such as Bloomberg, along with experience in version control systems like Git, is highly valued. Exceptional problem-solving skills, attention to detail, and effective communication are key soft skills for this role. These qualifications are essential for building robust financial models, collaborating with investment teams, and ensuring innovative, accurate solutions in a high-stakes environment.

What is a Hedge Fund Python job?

A Hedge Fund Python job involves developing and maintaining financial models, trading algorithms, and data analysis tools using Python. Professionals in this role work with large datasets, optimize trading strategies, and collaborate with portfolio managers and quantitative researchers. Strong knowledge of Python, financial markets, and quantitative analysis is essential.

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 cities in New York are hiring for Hedge Fund Python jobs? Cities in New York with the most Hedge Fund Python job openings:

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

Bonhill Partners

Manhattan, NY โ€ข On-site

$54 - $72.75/hr

Full-time

Posted 16 days ago


Job description

C++ Quantitative Developer โ€“ 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!