The Role
Develop and optimize cloud-based, low-latency trading systems processing real-time market and event data. Responsibilities include building data pipelines, integrating trading platforms, improving trading strategies, developing analytical reporting, optimizing millisecond-level performance, collaborating with quantitative analysts, and maintaining GCP infrastructure and deployment pipelines.
Summary Generated by Built In
About White Swan Data
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.
Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.
As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.
Our expansion into the United States
White Swan Data is entering an exciting new phase of growth as we prepare to establish our first office in the United States.
As our work and relationships within the US market continue to grow, we are planning to establish our first US office, expected to be located in New York City. This will be a significant milestone for the business and an opportunity to build a new team from the ground up, working closely with our existing UK-based operation.
We are currently building our plans for the US operation and are beginning to speak with talented individuals who could play an important role in establishing and growing our presence in the market. As this is a new operation, the exact timing and details of the launch are still being finalised.
If you are excited by the opportunity to join a growing business and have an interest in being part of our US expansion, we would be very interested in hearing from you.
About the Role
We have an opportunity for an experienced developer to join a fast-developing area of our business. This role will be joining a small and dynamic team developing a cutting-edge trading systems.
We are building systems that process real-time market and event-based information to execute automated trading strategies with millisecond latency. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success.
Key Responsibilities
- Design, develop, and optimise cloud based low-latency data processing pipelines.
- Implement and maintain integrations with multiple trading platforms.
- 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, Knowledge and Expertise
Must have:
- Programming Proficiency: Strong skills in Python and Java.
- Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerisation.
- API Development: Experience building and integrating with RESTful APIs, particularly for real-time applications.
- Low-Latency Systems: Understanding of performance optimisation techniques and experience building resilient systems with strict latency requirements, streaming data architectures and event-driven systems.
- Data Engineering: Solid grasp of data pipeline design, ETL processes, and schema design for both transactional and analytical workloads.
- Experience of AI. We have found AI has been an enormous accelerator across our team, this is a requirement for new hires.
Nice to have:
- Experience in a trading environment.
- Industry experience in wagering/betting.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days holiday per annum.
- Pension plan.
About
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem-solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision-making, and ultimately strengthens our ability to tackle complex challenges.
Skills Required
- Strong proficiency in Python and Java
- Hands-on experience with Google Cloud Platform (GCP)
- Experience with Docker containerization
- Experience building and integrating RESTful APIs for real-time applications
- Understanding of performance optimization and low-latency systems
- Experience with resilient systems, streaming data architectures, and event-driven systems
- Knowledge of data pipeline design, ETL processes, and schema design for transactional and analytical workloads
- Experience using artificial intelligence as a development accelerator
- Experience in a trading environment
- Industry experience in wagering or betting
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The Company
What We Do
White Swan Data is an information technology company that specializes in data-driven betting models, quantitative research, and software development, operating at the intersection of betting, quantitative research, and software development.
