About the Role

The Senior Python Software Engineer will work at the intersection of software engineering, quantitative research, and trading, building technology that powers quantitative research and live trading. This role involves designing and maintaining scalable Python applications, developing high-performance data pipelines, and collaborating with traders and researchers to enhance trading performance.

Responsibilities

Design, develop, and maintain scalable Python applications supporting quantitative research and live trading.
Build frameworks, APIs, and internal tools used by traders and quantitative researchers.
Develop high-performance data pipelines and distributed systems for market data and analytics.
Improve the reliability, scalability, and performance of production trading infrastructure.
Partner with quantitative researchers to transition research into production-quality software.
Drive technical design discussions, perform code reviews, and mentor other engineers.
Evaluate new technologies and continuously improve the firm's engineering platform.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
5+ years of professional Python software engineering experience.
Experience building large-scale, production Python systems.
Strong understanding of distributed systems, APIs, data structures, and software architecture.
Experience working in Linux environments and modern development workflows.
Familiarity with CI/CD, automated testing, and software engineering best practices.
Strong communication skills and the ability to collaborate across technical teams.

Preferred Qualifications

Experience within a proprietary trading firm, hedge fund, market maker, or electronic trading environment.
Experience building software that supports quantitative researchers or trading teams.
Familiarity with the scientific Python ecosystem (NumPy, Pandas, Polars, PyArrow, etc.).
Experience with C++, Rust, or another systems programming language is a plus.

Why Join?

Build technology that directly impacts live trading and P&L.
Work alongside world-class traders, quantitative researchers, and engineers.
Solve challenging problems involving distributed systems, large-scale data, and performance optimization.
High-ownership environment with significant autonomy and influence.
Competitive compensation, discretionary bonus, and outstanding benefits.

Requirements

Python software engineering

5+ years of professional experience in Python software engineering is required.

Distributed systems knowledge

A strong understanding of distributed systems, APIs, data structures, and software architecture is essential.

Linux environments

Experience working in Linux environments and modern development workflows is necessary.

CI/CD familiarity

Familiarity with CI/CD, automated testing, and software engineering best practices is important.

Nice to Have

Trading environment experience

Experience within a proprietary trading firm, hedge fund, market maker, or electronic trading environment is preferred.

Scientific Python ecosystem

Familiarity with the scientific Python ecosystem (NumPy, Pandas, Polars, PyArrow, etc.) is a plus.

Systems programming languages

Experience with C++, Rust, or another systems programming language is a bonus.

Benefits

Competitive compensation

Offers competitive compensation and discretionary bonuses.

High-ownership environment

Provides a high-ownership environment with significant autonomy and influence.

Outstanding benefits

Includes outstanding benefits.