At a Glance
- Tasks: Develop mathematical models and high-performance algorithms for innovative betting solutions.
- Company: Join a dynamic team in the exciting betting industry.
- Benefits: Competitive salary, performance bonuses, health insurance, and gym memberships.
- Other info: Enjoy regular team events, free snacks, and a collaborative culture.
- Why this job: Make an impact with your analytical skills in a fast-paced environment.
- Qualifications: Master's degree in a quantitative field and experience with Python or R.
The predicted salary is between 30000 - 40000 € 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.
- 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.
- 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.
Quantitative Specialist employer: White Swan Data
Join a dynamic team in London as a Quantitative Specialist, where you'll have the opportunity to develop cutting-edge betting solutions while enjoying a vibrant work culture that prioritises collaboration and innovation. With competitive benefits including a discretionary performance bonus, generous holiday allowance, and wellness perks like gym memberships and regular team events, this role offers not just a job, but a pathway for professional growth in a thriving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python or R. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in quantitative analysis. Practice common interview questions and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, R, or any other programming languages you've used. We want to see how your skills match the role, so don’t be shy about showcasing your quantitative expertise!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about developing betting solutions and how your background in mathematics or statistics makes you a great fit for our team.
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional setting or during your studies, make sure to mention them. We love seeing real-world applications of your skills, especially in data processing and automation.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at White Swan Data
✨Know Your Numbers
Brush up on your statistical techniques and mathematical models. Be ready to discuss how you've applied these in past roles, especially in relation to data analysis and performance testing. This will show that you can hit the ground running.
✨Show Off Your Coding Skills
Make sure you're comfortable with Python or R, as these are key for the role. Prepare to demonstrate your coding abilities, perhaps by discussing a project where you automated processes or built algorithms. Practice explaining your code clearly, as communication is crucial.
✨Data Storytelling
Be prepared to interpret complex data sets and explain trends or patterns you've identified. Use examples from your experience to illustrate how you’ve turned data into actionable insights. This will highlight your analytical thinking and problem-solving skills.
✨Team Player Mindset
Since collaboration is important, think of examples where you've worked effectively within a team. Discuss how you prioritised tasks and contributed to process improvements. A positive attitude and willingness to learn will resonate well with the interviewers.
