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.
Bonus:
- 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.
Tech Stack: Primarily C++, Python and Java.
We Offer:
The Base Salary Range is $200,000 - $275,000. These ranges are representative of the starting base salaries for this role at Clear Street. Which range a candidate fits into and where a candidate falls in the range will be based on job related factors such as relevant experience, skills, and location. These ranges represent Base Salary only, which is just one element of Clear Street's total compensation. The ranges stated do not include other factors of total compensation such as bonuses or equity.
At Clear Street, we offer competitive compensation packages, company equity, 401k matching, gender neutral parental leave, and full medical, dental and vision insurance. Our belief has always been that we are better as a business when we are all together in person. We are requiring employees to be in the office 4 days per week. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views.
Our top priority is our people. We’re continuously investing in a culture that promotes collaboration. We help each other through challenges and celebrate each other's successes. We believe that modern workplaces succeed by virtue of having high-performance workforces that are diverse — in ideas, in cultures, and in experiences. We put in the effort to make such a workplace a daily reality and are proud to be an equal opportunity employer.
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