About the Role
The Risk Engineering (RENG) team aims to measure the portfolio risk of both our clients and the firm. As a member of RENG, you will become an expert in various risk methodologies to build efficient, scalable systems from the ground up to quantify and manage these risks in real-time.
Responsibilities
- Implement efficient user-interfaces for both internal and external users
- Architect new backend services and storage layers for risk based metrics
- Collect and break down requirements to produce technical designs
- Collaborate with other tech teams, as well as business, operations, and compliance team members
Requirements
- At least five (5) years of experience implementing scalable backend services with a statically-typed language (Go / Java preferred)
- BS degree in Computer Science, Computer Engineering or similar discipline
- Experience building efficient user-interfaces using Typescript and React
- Strong communication skills to collaborate effectively with non-technical business stakeholders, product managers, and engineers
- Excited to explore new technologies and become an expert in our tech stack
Skills
- React
- Typescript
- Go
- Python
- gRPC
- Kafka
- PostgreSQL
- Docker
- Kubernetes
- AWS
- Snowflake
Work Type
- Hybrid
Experience Level
- 5+ years
Education Level
- BS degree in Computer Science, Computer Engineering or similar discipline
Salary/Compensations
- $170,000 - $250,000
Benefits
- Company equity
- 401k matching
- Gender neutral parental leave
- Full medical, dental and vision insurance
- Lunch stipends
- Fully stocked kitchens
- Happy hours
About the Company
- 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.
Equal Opportunity
- 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.
