Quantitative Specialist
About The Position
White Swan Data is a small, rapidly growing team of mathematicians, data scientists, and software engineers refining statistical models and researching and deploying new ones. Its work combines iGaming, quantitative research, and software development to identify and capitalize on inefficiencies across the iGaming landscape. The company describes its startup environment as dynamic and entrepreneurial, with in-person collaboration, autonomy, and opportunities to work on impactful projects. The Quantitative Specialist will join a small, dynamic team developing trading systems. The work involves mathematical and statistical models, high-performance algorithms, efficient coding, automation of betting operations, data generation and management, and performance analysis through back-testing and simulations. The role offers the opportunity to work on technical problems in a collaborative environment and contribute directly to the platform’s success. White Swan Data is planning to establish its first US office, expected to be in New York City. The operation is being planned in coordination with the existing UK-based business, and launch timing and details are still being finalized.
Requirements
- Master’s degree in mathematics, statistics, computer science, engineering, or another quantitative discipline.
- 1–2 years of professional experience in a quantitative role.
- Proficiency in analytical programming languages such as R, Python, or C++.
Nice To Haves
- Statistical modeling and data analytics skills.
- Strong attention to detail and ability to retain information.
- Strong communication and collaboration skills.
- Positive, can-do attitude and ability to meet deadlines.
- Willingness to learn and adapt to new environments.
- Experience in the financial, betting, or gaming industries.
Responsibilities
- Acquire data from multiple sources, filtering, cleaning, and wrapping it.
- Interpret data, analyze results using statistical techniques, and provide reports.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Work with the team to prioritize business and information needs.
- Identify opportunities to improve processes.
- Design, build, test, and deliver data-processing and automation software.
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days of holiday per annum.
- Pension plan.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
