Low-Latency Trading Systems Developer

White Swan Data; United Kingdom; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Salary depending on experience

Annual discretionary performance bonus

25 days holiday + UK bank holidays

Private health & dental insurance

Optical cover

Pension plan

Gympass membership

Free coffee & snacks

Regular team events

Job summary

White Swan Data is seeking an experienced developer to join a fast-developing area focused on cutting-edge trading systems. You will join a small, dynamic team building real-time data processing and low-latency infrastructure.

This role offers exposure to challenging technical problems and a collaborative environment where your contributions directly impact our platform's performance and scale.

Qualifications

• Proficiency in Python and Java.
• Experience with Google Cloud Platform (GCP) and Docker.
• Experience building real-time RESTful APIs.
• Knowledge of low-latency systems and event-driven architecture.
• Experience designing data pipelines and ETL processes.

Responsibilities

• Design, develop, and optimise cloud based low-latency data processing pipelines.
• Implement and maintain integrations with multiple trading platform.
• Enhance existing trading strategy implementations for improved performance.
• Design and implement real-time data processing and analytical reporting pipelines.
• Monitor and optimise system performance to maintain millisecond-level latency targets.
• Collaborate closely with quantitative analysts to translate trading strategies into production code.
• Maintain and improve our GCP-based infrastructure and deployment pipelines.

Skills

Python

Java

GCP

RESTful APIs

Low-latency systems

Data pipelines

ETL

Schema design

Tools

Docker

Job description

White Swan Data is seeking an experienced developer to join a fast-developing area focused on cutting-edge trading systems. You will join a small, dynamic team building real-time data processing and low-latency infrastructure.

This role offers exposure to challenging technical problems and a collaborative environment where your contributions directly impact our platform's performance and scale.