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Senior Quantitative Software Engineer
1 month ago
At Squarepoint Capital, we are a global investment management firm that leverages systematic and quantitative strategies to achieve high-quality, uncorrelated returns for our clients. Our success is built on rigorous scientific research, deep expertise in trading, technology, and operations, and a commitment to designing and building cutting-edge systems.
We use Python as the primary language for building software solutions that drive our trading success. As a senior quantitative software engineer or Python developer, you will work on a wide range of systems, including core tooling and frameworks, data pipelines for predictive models in research and trading, and software products used worldwide by traders and researchers.
In this role, you will collaborate with experienced software developers and quant researchers to enable the continued growth of our investment business. You will solve complex problems at scale, gain unique insights from talented individuals in the industry, and contribute to the development of innovative technologies.
Key Requirements:
- Relevant degree (Computer Science, Computer Engineering, Applied Math, Physics, Quantitative Finance, or Financial Engineering/MFE)
- Up to 4 years of experience in software or quant development
- Expertise in Python, git, and Linux
- Excellent written and verbal communication skills
- Eagerness to learn new technologies and grow with the company
Preferred Qualifications:
- Experience with C++, Rust, KDB+/q, JavaScript/TypeScript/React
- Familiarity with database management systems and related technologies like SQL
- Background in an investment or financial business
At Squarepoint Capital, we offer competitive compensation packages, which include an estimated salary range of $120,000 - $180,000 per annum, depending on qualifications and experience. We are an E-Verify employer and strive to maintain a diverse and inclusive work environment.