Clear Street is a cloud-native financial technology firm founded in 2018 that modernizes the brokerage ecosystem by replacing legacy infrastructure with efficient, risk-minimizing clearing and custody systems. The company's proprietary platform aims to create a unified solution for all asset classes globally, across various currencies. Clear Street has received significant funding, including a Series B investment of $685 million, positioning it as a leader in transforming the capital markets industry.
Open Positions
Senior Software Engineer
7+ yrs Java exp, Spring Framework expertise, and a systems design understanding. Strong ability to communicate technical ideas and mentor others
Senior Software Engineer - Portfolio Management
7+ years Java/SpringBoot experience. Strong SQL and data query skills. Understanding of OLAP/OLTP workflows
Senior Software Engineer
5+ yrs exp designing systems. BS in CS, finance or related. Understand financial markets. Tech Stack: Java/Typescript/Javascript, Golang/Python/React, AWS, Kubernetes
Data Engineer - Regulatory Reporting
5+ years of software design experience. Python & SQL proficiency. Experience with Snowflake & data warehousing
Software Engineer, Full Stack - Risk Engineering
5+ yrs backend experience w/ Go/Java, BS in CS/CE, Typescript & React UI experience. Strong comm skills & communication abilities required
Backend Software Engineer - Market Data Services
8+ years of scalable service experience in Go. API design and solution delivery to complex problems. Strong OOP skills and solid communication
Staff Software Engineer - Trading Systems
8+ years of Software Development experience, 5+ years Java/Spring Boot experience, hands on experience with Kafka
Software Engineer, Full Stack - Swaps Platform
Bachelor's degree in CS, 5+ years of experience, experience with Java, Spring, and microservice development
Staff Software Engineer
8+ years of experience, solid understanding of distributed systems, familiarity with financial market data
Quantitative Research Analyst
5+ years of quantitative analysis experience, advanced degree in finance or related field, proficiency in Python or R, strong quantitative skills, and excellent communication. Proficiency in SQL is a plus
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