Desk Quantitative Analyst
Listed on 2026-02-16
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IT/Tech
FinTech, Data Scientist
This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay rangeDirect message the job poster from Anson Mc Cade
My client is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for their clients. They have deep expertise in trading, technology and operations and attribute their success to rigorous scientific research. As a technology and data-driven firm, they design and build their own cutting-edge systems, from high performance trading platforms to large-scale data analysis and compute farms.
With offices around the globe, they emphasize true, global collaboration by aligning their investment, technology and operations teams functionally around the world.
- Maintain and upgrade the codebase and configuration of strategies within the firm’s automated trading framework.
- Manage large datasets used in both research and production environments.
- Perform live as well as historical monitoring of trading activities. For instance, do some post‑trade analysis or production reconciliation.
- Work in close collaboration with quant researchers and traders to understand the constantly evolving needs of the trading desks.
- Degree in Engineering, Computer Science or related technical subject.
- Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
- Great attention to details.
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Linux experience.
- Ability to work well under pressure.
- Entry level
- Full‑time
- Analyst
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