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- Tasks: Join a team developing innovative betting solutions through data analysis and algorithm design.
- Company: A dynamic company in London focused on creating cutting-edge betting technologies.
- Benefits: Enjoy flexible work perks, health insurance, gym memberships, and regular team socials.
- Why this job: Be part of a collaborative culture that values learning and innovation in the gaming industry.
- Qualifications: BSc in a quantitative field; proficiency in Python or R is essential.
- Other info: Experience in financial or gaming sectors is a plus, but a positive attitude is key!
The predicted salary is between 36000 - 60000 £ per year.
The successful candidate will 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. Industry based experience of, and genuine proficiency in, Python or R or a similar programming language is essential.
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
- Statistical modelling and skills in data analytics.
- Strong attention to detail and ability to retain information.
- Adept using analytical programming languages such as R, Python, C++, etc.
- BSc in mathematics, statistics, computer science, engineering or other quantitative discipline.
- 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 is a plus.
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.
Junior Quantitative Specialist employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Quantitative Specialist
✨Tip Number 1
Familiarise yourself with the latest trends in statistical modelling and data analytics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the betting and gaming industries. Attend relevant meetups or webinars to connect with potential colleagues and learn about their experiences, which can give you insights into what we value at StudySmarter.
✨Tip Number 3
Brush up on your Python or R skills by working on personal projects or contributing to open-source projects. This practical experience can be a great talking point in interviews and shows your commitment to continuous learning.
✨Tip Number 4
Prepare to discuss how you've identified and implemented process improvements in past roles or projects. We appreciate candidates who can demonstrate a proactive approach to problem-solving and efficiency.
We think you need these skills to ace Junior Quantitative Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in statistical modelling, data analytics, and programming languages like Python or R. Emphasise any projects or roles that demonstrate your ability to develop mathematical models and algorithms.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific skills that align with the job description, such as your experience with data acquisition and analysis, and your ability to work collaboratively within a team.
Showcase Relevant Projects: If you have worked on any relevant projects, either academically or professionally, include them in your application. Describe your role, the tools you used, and the outcomes of the projects to demonstrate your practical experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Junior Quantitative Specialist.
How to prepare for a job interview at White Swan Data
✨Brush Up on Your Programming Skills
Make sure you're comfortable with Python or R, as these are essential for the role. Be prepared to discuss your experience with coding and possibly solve a coding challenge during the interview.
✨Understand Statistical Modelling
Familiarise yourself with statistical techniques and how they apply to data analysis. Be ready to explain how you've used these methods in past projects or studies.
✨Showcase Your Problem-Solving Abilities
Think of examples where you've identified process improvements or solved complex problems using data. This will demonstrate your analytical skills and proactive attitude.
✨Prepare for Team Collaboration Questions
Since the role involves working within a team, be ready to discuss your experiences collaborating with others. Highlight your communication skills and how you contribute to a positive team environment.
