Clear Street
Overview
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 built a 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 developed data model abstractions, horizontal scalability, and thoughtful APIs to 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 Team:
The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team collects inputs from various sources including vendors, public sources, and internal teams, organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. The Role
We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for asset classes such as equities, options, futures, and more. You will design, develop, and optimize data pipelines that handle large volumes of data with low latency and high throughput, ensuring our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support trading, analytics, and financial data products. You will contribute to the design and implementation of key components that support Clear Street’s expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, and a deep understanding of financial market data structures and processes. Knowledge or direct experience with market data feed handlers from exchanges is a significant advantage. Responsibilities
Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements
At least 8+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability) Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc. Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking Strong communication skills and collaboration to deliver high-quality products Team-oriented with experience working effectively with other engineers toward common goals Nice To Haves
Experience with system profiling using eBPF Experience with columnar storage and database systems Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron We Offer
The Base Salary Range for this role is $200,000 - 250,000. This range represents starting base salaries for this role at Clear Street and will depend on relevant experience, skills, and location. This range is Base Salary only and does not include bonuses or equity. In addition, Clear Street offers competitive compensation packages, company equity, 401k matching, gender-neutral parental leave, and full medical, dental, and vision insurance. We require in-office presence 4 days per week in our NYC office. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We invest in a culture that promotes collaboration and celebrates successes. We strive for a diverse, high-performance workforce and are proud to be an equal opportunity employer.
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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 built a 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 developed data model abstractions, horizontal scalability, and thoughtful APIs to 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 Team:
The FACT team is responsible for several key data products which enable Clear Street’s systems and personnel to operate with confidence and speed. These products include security and pricing master, corporate actions, and streaming market data as well as a number of other key reference datasets. The FACT team collects inputs from various sources including vendors, public sources, and internal teams, organizing them into cohesive data products which serve as the authoritative source of reference data within the firm. The Role
We are looking for a skilled and experienced Software Engineer to join our team, building high-performance real-time data pipelines to process financial market data, including security prices for asset classes such as equities, options, futures, and more. You will design, develop, and optimize data pipelines that handle large volumes of data with low latency and high throughput, ensuring our systems can process and deliver market data in real time. As a Software Engineer in the FACT team, you will work closely with high-impact teams to design and implement cutting-edge solutions that support trading, analytics, and financial data products. You will contribute to the design and implementation of key components that support Clear Street’s expansion into global markets. The ideal candidate will have a strong background in building low-latency, high-throughput systems, and a deep understanding of financial market data structures and processes. Knowledge or direct experience with market data feed handlers from exchanges is a significant advantage. Responsibilities
Design, develop, and maintain real-time data pipelines to handle financial market data with low latency and high throughput in a resilient manner. Work with asset classes such as equities, options, futures, and other financial instruments to ensure timely and accurate data processing. Collaborate with product, trading, and risk teams to understand requirements and deliver high-quality solutions that meet business needs. Develop efficient mechanisms for integrating market data feeds from exchanges and other sources into our systems. Troubleshoot and resolve performance issues, data discrepancies, and ensure data integrity across the pipeline. Continuously monitor the performance and health of data pipelines, identifying and mitigating potential issues before they impact system performance. Requirements
At least 8+ years of professional experience implementing low-latency, high-throughput data pipelines Solid understanding of distributed systems and the challenges involved in real-time data pipelines (e.g., data consistency, fault tolerance, scalability) Familiarity with financial market data, including security prices, and asset classes like equities, options, futures, etc. Strong familiarity with Linux/BSD Familiarity with TCP/IP and UDP (Unicast/Multicast) networking Strong communication skills and collaboration to deliver high-quality products Team-oriented with experience working effectively with other engineers toward common goals Nice To Haves
Experience with system profiling using eBPF Experience with columnar storage and database systems Kernel bypass networking (DPDK or XDP) Provisioning and configuration of routing in the cloud or on-premise, including BGP, VPCs, network peering Experience with Aeron We Offer
The Base Salary Range for this role is $200,000 - 250,000. This range represents starting base salaries for this role at Clear Street and will depend on relevant experience, skills, and location. This range is Base Salary only and does not include bonuses or equity. In addition, Clear Street offers competitive compensation packages, company equity, 401k matching, gender-neutral parental leave, and full medical, dental, and vision insurance. We require in-office presence 4 days per week in our NYC office. In-office benefits include lunch stipends, fully stocked kitchens, happy hours, a great location, and amazing views. Our top priority is our people. We invest in a culture that promotes collaboration and celebrates successes. We strive for a diverse, high-performance workforce and are proud to be an equal opportunity employer.
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