Entry-Level Quantitative Analyst

White Swan Data; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A data science firm in London is looking for an aspiring quant to develop mathematical models and algorithms for betting solutions. Candidates should have at least 2 years of experience and proficiency in Python. Benefits include a performance bonus, private health insurance, and gym membership among others.

Benefits

Annual discretionary performance bonus

25 days holiday per annum

Private health & dental insurance

Pension plan

Gympass membership

Free coffee & snacks

Regular team events & socials

Qualifications

• At least 2 years of professional experience in a technical role.
• Proficiency in the Python programming language.

Responsibilities

• Acquire data from multiple data sources and process it.
• Interpret data and analyse results using statistical techniques.
• Identify and interpret trends in complex data sets.
• Design and deliver data processing and automation software.

Skills

Proficiency in Python programming

Statistical modelling

Data analytics skills

Education

BSc in mathematics, statistics, computer science, engineering or other quantitative discipline

Job description

Overview

White Swan Data is a small but rapidly growing team of mathematicians, data scientists and software engineers who are constantly striving to refine world class probability 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.

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.

Qualifications

• Must have: At least 2 years of professional experience in a technical role.
• Must have: Proficiency in the Python programming language.
• Nice to have: BSc in mathematics, statistics, computer science, engineering or other quantitative discipline.
• Nice to have: Statistical modelling and skills in data analytics.
• Nice to have: Strong attention to detail and ability to retain information.
• Nice to have: Strong communication and collaboration skills.
• Nice to have: Positive ‘can do’ attitude, and ability to meet deadlines.
• Nice to have: Willingness to learn and adapt to new environments.
• Nice to have: 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.