Quantitative Specialist
White Swan Data
- Pay
- $160K to $180K
- a year
- Location
- New York City, NY
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 19
- 2 days ago
Career path
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About the company
White Swan Data
Information technology and services · 51 to 200 employees
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.
What you'll do
- A masters in mathematics, statistics, computer science, engineering or another quantitative discipline.
- 1-2 years of professional experience in a quantitative role.
- Adept using analytical programming languages such as; R, Python, C++, etc.
- Statistical modelling and skills in data analytics.
- 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.
What you need
- Acquire data from multiple data sources, filtering, cleaning and wrapping.
- Interpret data, analyse results using statistical techniques, and provide reports.
- Identify, analyse, and interpret trends or patterns in complex data sets.
- Work within the team to prioritise business and information needs.
- Identify process improvement opportunities.
- Design, build, test and deliver data processing and automation software.
- Education: a postgraduate degree
Key skills
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