Software Engineer - Low Touch Desk

Clear Street•Chicago, IL

11d•$200,000 - $275,000•Hybrid

About The Position

About Clear Street: Clear Street is modernizing the brokerage ecosystem. Founded in 2018, Clear Street is a diversified financial services firm replacing the legacy infrastructure used across capital markets. We started from scratch by building a completely cloud-native clearing and custody system designed for today’s complex, global market. Our platform is fully integrated with central clearing houses and exchanges to support billions in trading volume per day. We’ve agonized about our data model abstractions, created horizontal scalability, and crafted thoughtful APIs. All so we can provide a best-in-class experience for our clients. By combining highly-skilled product and engineering talent with seasoned finance professionals, we’re building the essentials to compete in today’s fast-paced markets. The Role: We are seeking an Experienced Software Engineer to join our Algorithm / Research team, focusing on the design, development and maintenance of high-performance trading systems and their underlying algorithms. Enhance existing trading strategies and develop tools to support them. Design, develop, test and deploy new strategies, algorithms and tools. Play a pivotal role in evolving our platform as we expand our client base. Acquire a deep understanding of our systems to influence future design decisions. Other duties as assigned or needed. The Team: Clear Street’s Execution Algorithm / Research team focuses on creating innovative strategies that meet our clients’ order execution needs. We work closely with our desk traders and sales team to discover new opportunities to enhance client order flow and execution performance.

Requirements

Ideally 10+ years of experience in developing high-performance algorithmic financial applications.
Bachelor’s degree or higher in Computer Science, Engineering, Statistics, Math, or a related STEM field.
Adaptability to a fast-paced, dynamic environment with evolving priorities.
Strong computer programming skills using C++, Python and Java in a Linux environment.
Strong understanding of financial markets.
Experience with multi-threaded programming and distributed application architecture.
Strong understanding of computer systems, including operating systems, networks, and performance optimization.
Experience with modern software development practices and tools.
Strong passion for technology and continuous learning.

Nice To Haves

Experience in statistical analysis.
Proficiency in using libraries like Pandas, NumPy and SciPy.
Experience in developing and back testing algorithmic trading strategies.
Familiarity with containerization technologies, such as Docker.

Responsibilities

Enhance existing trading strategies and develop tools to support them.
Design, develop, test and deploy new strategies, algorithms and tools.
Play a pivotal role in evolving our platform as we expand our client base.
Acquire a deep understanding of our systems to influence future design decisions.
Other duties as assigned or needed.