Qube Research & Technologies

Manages investments with systematic trading models

Software Engineer - Distributed Market Data Systems

Backend EngineeringConfirmed live in the last 24 hours

Full-timeHong KongNo salary listedIn-person

About the Job

Requirements

Four years of software engineering experience.
Experience with distributed real-time systems.
Systems design and architecture experience.
Ability to write optimized, high-throughput code.
Communication and teamwork skills, with an interest in building a strong engineering culture.

Responsibilities

Develop greenfield software in a small, collaborative team.
Build cloud-native platforms for distributing and processing real-time tick data.
Architect high-throughput distributed systems with significant horizontal scalability.
Work with researchers and data scientists across QRT.

Desired Qualifications

Experience with cloud-native platforms, including Kubernetes.
Experience with real-time platforms, including Kafka.
Experience with high-performance Python tooling, including NumPy, Numba, and interoperability with C++ and Rust.
Experience with modern data tooling, including Polars, Arrow, and Flight/gRPC.
Experience with C++ or Rust.
Experience with market data.
Experience with site reliability engineering and DevOps.
Project leadership and stakeholder management experience.

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 initiatives and programs to enable employees achieve a healthy work-life balance.

About the Company

Qube Research & Technologies

Manages investments with systematic trading models

Qube Research & Technologies manages investment portfolios for investors, using scientific research and market data to guide its trading. It develops systematic strategies that turn research findings into rules for buying and selling, with risk controls used to manage portfolios across financial markets. The group operates through locally regulated investment-management entities in the United Kingdom, Hong Kong, France, Singapore and Dubai, with strategies deployed globally to spread its portfolios across regions and markets. Investors place capital in its funds, and the firm earns fees for managing those assets and investment strategies. The firm is headquartered in London, United Kingdom.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: London, United Kingdom
Founded: Not listed

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