Quantitative Developer - High Performance Computing (Python)

Squarepoint Capital•London, NY

1d•$150,000

About The Position

In the context of our high-frequency trading business, researchers are constantly crunching large datasets in order to decode the inner workings of the market and improve trading models. We're looking for a candidate capable of building, supporting, and extending the functionality of Python-based research tools critical to the success of the business. Candidates should be proficient in manipulating large amounts of data with open-source Python packages (Polars/Pyarrow/Numba) and be familiar with at least one compiled language (Rust/C++/C). Prior experience utilizing distributed computing frameworks (e.g. Slurm/Dask/Spark) is also helpful. The candidate is expected to actively collaborate with other developers and researchers to add or enhance requested features and improve performance.

Requirements

Technical background with a strong CS component (Math, Physics, Engineering, CS)
Proficient in Python plus at least one compiled programming language (Rust, C++, C)
Ability to write optimized compiled modules to be used through Python
Familiarity with manipulating big data
Interest in learning about options and/or algorithmic trading

Nice To Haves

Prior experience utilizing distributed computing frameworks (e.g. Slurm/Dask/Spark)

Responsibilities

Building, supporting, and extending the functionality of Python-based research tools
Actively collaborate with other developers and researchers to add or enhance requested features and improve performance

Benefits

This role may be eligible for discretionary bonuses, which could constitute a significant portion of total compensation.
This role may also be eligible for benefits, such as health, dental, and other wellness plans, as well as 401(k) contributions.

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