Entry-Level Quantitative Analyst bei White Swan Data
White Swan Data · London, Vereinigtes Königreich · Onsite
- Junior
- Optionales Büro in London
We are on the look-out for an aspiring quant to join a team which develops betting solutions. These betting solutions entail the development of mathematical/statistical models and high-performance algorithms; efficient coding; automation of betting operations; data generation, acquisition, storage and manipulation; and performance analysis through back-testing and simulations.
The candidate will have a couple of years of technical experience in a professional setting and be proficient in the Python programming language.
Key Responsibilities
- 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.
Skills, Knowledge and Expertise
- At least 2 years of professional experience in a technical role.
- Proficiency in the Python programming language.
- BSc in mathematics, statistics, computer science, engineering or other quantitative discipline.
- 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.
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 everyday and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.