The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.
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.
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 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, 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, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in every day and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.
Company Culture
At White Swan Data we have created a highly dynamic and entrepreneurial working environment. We value innovation, ambition, and dedication in our employees, and strive to foster a culture which drives excellence. The work is often fast-paced, challenging, and there is never a dull moment. We are always chasing the next win, and make sure to celebrate it and recognize individual contributions to our overall success.
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.
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.
White Swan Data London, England Office
London, United Kingdom
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