Data Engineer - Securities Finance (Senior Level)

About Clear Street:

Clear Street is building modern infrastructure for capital markets. Founded in 2018 by top Wall Street and Silicon Valley veterans, Clear Street is an independent, non-bank prime broker designed to solve the industry’s most neglected problem: legacy technology.

We have built a proprietary, cloud-native clearing and custody system from the ground floor to replace the outdated infrastructure used across capital markets. Our platform is fully integrated with central clearinghouses 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 Team:

The Securities Finance Engineering team builds trading platforms for various Securities Finance businesses including Securities Lending, Repo, Agency Lending and Delta 1. We are a team of specialists with skills across various aspects of engineering, quantitative modeling, and product.

Clear Street is building out its Securities Finance Trading Platform from the ground up. Members of the team have the unique opportunity in the industry to build large scale, sophisticated trading systems on a modern and scalable technology stack from scratch.

We employ a wide variety of technologies including Java/Spring Boot (for our service mesh), React (front-end), Python and R for ETL/Analytics and statistical modeling respectively. Clear Street Engineering provides a modern developer experience for engineers, including excellent CI/CD tooling and a managed k8s environment.

You Will:

• Architect and build data pipelines and analytics platforms for financial data
• Put your experience to good use by mentoring teammates, defining engineering standards, and driving a system design approach to building new services.
• Own systems end-to-end, including support and ongoing improvements.
• Develop a deep understanding of the business domain.

Skills We’re Looking For:

• You have 7+ years of experience designing and architecting systems that deliver solutions to complex data problems.
• You are a data modeling pro; you understand how to create unified definitions of types from different source data representations.
• You have extensive experience with relational databases like Postgres, a deep understanding of distributed systems and their tradeoffs, and a working knowledge of streaming data.

Bonus Points:

• Experience with big data tools e.g. Apache Spark, Presto, Athena
• Experience in the Securities Finance domain.
• Prior experience going from zero to one (building and rolling out a new product).
• Experience with AWS / cloud-native tooling.
• Understanding of Docker and container orchestration.

The Senior Level Base Salary Range is $170,000 - $240,000. 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. As such, beginning on January 2, 2023, 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.