Clear Street LLC.
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.
Role
Architect new backend services and storage layers for risk based metrics
Optimize data models for storage and reporting
Design data ingestion pipelines in a distributed computing environment
Collect and break down requirements to produce technical designs
Collaborate with other tech teams, as well as business, operations, and compliance team members
The Team 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 (Reg‑T, Portfolio Margin) to build efficient, scalable systems from the ground up to quantify and manage these risks in real‑time. This will involve leveraging AI and machine learning to provide answers about the portfolio, positions at client and aggregate levels, and intelligent automation for portfolio optimization.
Requirements
At least five (5) years of professional engineering experience.
You have 5+ years of experience implementing scalable backend services with a statically‑typed language (Go / Java preferred)
You have data‑wrangling experience with common scripting languages (Python preferred)
You are familiar with common microservice architecture paradigms
You have experience designing and working with APIs to expose information externally You leverage strong communication skills to collaborate effectively with non‑technical business stakeholders, product managers, and engineers
You are excited to explore new technologies and become an expert in our tech stack
Bonus
Integration experience with MSCI, NASDAQ
Stream‑processing experience, such as Beam and Flink
Experience with Typescript/React
As set forth in Clear Street’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr
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.
Role
Architect new backend services and storage layers for risk based metrics
Optimize data models for storage and reporting
Design data ingestion pipelines in a distributed computing environment
Collect and break down requirements to produce technical designs
Collaborate with other tech teams, as well as business, operations, and compliance team members
The Team 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 (Reg‑T, Portfolio Margin) to build efficient, scalable systems from the ground up to quantify and manage these risks in real‑time. This will involve leveraging AI and machine learning to provide answers about the portfolio, positions at client and aggregate levels, and intelligent automation for portfolio optimization.
Requirements
At least five (5) years of professional engineering experience.
You have 5+ years of experience implementing scalable backend services with a statically‑typed language (Go / Java preferred)
You have data‑wrangling experience with common scripting languages (Python preferred)
You are familiar with common microservice architecture paradigms
You have experience designing and working with APIs to expose information externally You leverage strong communication skills to collaborate effectively with non‑technical business stakeholders, product managers, and engineers
You are excited to explore new technologies and become an expert in our tech stack
Bonus
Integration experience with MSCI, NASDAQ
Stream‑processing experience, such as Beam and Flink
Experience with Typescript/React
As set forth in Clear Street’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
#J-18808-Ljbffr