Qube Research & Technologies
quantitative and systematic investment manager
SoftwareEngineer–DistributedMarketDataSystems(Python)
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer – Distributed Market Data Systems (Python) at Qube Research & Technologies. Skills: Distributed market data architecture, Scalable and performant data platforms, Cloud-native platforms, Realtime tick data processing, High throughput distributed systems. Greenfield development. Building cloud-native platforms for the distribution and processing of realtime tick data”
What You'll Achieve.
Deliver high quality returns for our investors; Scalable and performant data platforms
Industry & Context.
Solve the most complex challenges
What They're Looking For.
Must Have
4 years of software engineering experience, Experience with distributed realtime systems, Systems design and architecture, Ability to write optimised and high throughput code
Nice to Have
Cloud-native platforms including Kubernetes, Realtime platforms including Kafka, High performance python tooling (numpy, numba, c++ and rust interoperability), Modern data tooling (polars, arrow, flight/grpc), C++ or Rust, Market data, SRE and DevOps, Project leadership and stakeholder management
What You'll Do.
Greenfield development
Building cloud-native platforms for the distribution and processing of realtime tick data
Architecting high throughput distributed systems with significant horizontal scalability
Working with researchers and data scientists across QRT
How You'll Work.
Team & Collaboration
Small and highly collaborative team; Working with researchers and data scientists across QRT; Collaborative mindset; Teamwork
Communication Scope
Communication
Process & Methodology
Project leadership
Full Job Description
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Tick Data Platform is a new team building a globally distributed market data architecture. The systems are being developed from the ground up and we’re looking for exceptional software engineers to join us in creating scalable and performant data platforms to support quantitative research and trading. Your future role within QRT Greenfield development in a small and highly collaborative team Building cloud-native platforms for the distribution and processing of realtime tick data Architecting high throughput distributed systems with significant horizontal scalability Working with researchers and data scientists across QRT Your present skillset: 4 years of software engineering experience Experience with distributed realtime systems Systems design and architecture Ability to write optimised and high throughput code Communication and teamwork, with an interest in building a strong engineering culture Experience in these is advantageous but not required: Cloud-native platforms including Kubernetes Realtime platforms including Kafka High performance python tooling (numpy, numba, c++ and rust interoperability) Modern data tooling (polars, arrow, flight/grpc) C++ or Rust Market data SRE and DevOps Project leadership and stakeholder management QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initia
Applying for this Software Engineer – Distributed Market Data Systems (Python) role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Greenhouse
- Create a Greenhouse profile before applying — it saves time across multiple applications.
- Upload your resume as a PDF; the parser handles it better than Word.
- Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
- Enable email notifications to track application status in real time.
ANONYMOUS · UNFILTERED
What do employees actually say about Qube Research & Technologies?
Real rants from real employees. Read before you apply.