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- Tasks: Join our Quant Trading team to develop and maintain trading strategies using Python and data analysis.
- Company: Smarkets is a leading betting exchange revolutionising the sports betting industry with innovative technology.
- Benefits: Enjoy flexible working, stock options, health insurance, and daily lunches prepared by our in-house chef.
- Why this job: Be part of a dynamic team that values collaboration, innovation, and personal growth while making a real impact.
- Qualifications: Bachelor's degree in Maths, CompSci, Physics or Stats; proficiency in Python and SQL; passion for sports.
- Other info: Work in a vibrant environment with opportunities for global remote work and a yearly education budget.
The predicted salary is between 43200 - 72000 £ per year.
Smarkets is a betting exchange for sports and political trading that has handled over £29 billion in volume since 2010. Our company mission is to fix the betting industry with the best products and best prices. We are upending the sports betting industry by growing a transparent platform that offers the best value for bettors, with the fairest odds, best technology and a superior customer experience. Smarkets is a Series B tech company that brings a professional, product-led approach to our mission. We embrace collaboration, trust, innovation and scientific rigour, while we celebrate ambitious goals and passionate energy. Our culture rewards people on merit and excellence and we strive to provide a working environment where recognition, challenges, support, collaboration, interesting benefits and shared meals provided by our chefs mix together to let you unlock your potential, grow with us and become your best self. Join our team and play a pivotal role in shaping the future of our betting trading technology landscape.
Role expectations and responsibilities
- The Trading department prices a large volume of markets in a number of different sports.
- Our code is mostly Python with Rust used for performance critical components.
- Within it, the Quant Trading team works closely with our developer team and domain expert trading operations team.
- You will own a suite of our trading strategies and be responsible for overseeing and maintaining them through post trading analysis and improvement of their business logic.
- You will research and develop new abilities to enable us to price more markets profitably using a mix of correlations/derivatives and fundamental modelling.
- You will use and develop automated reporting to improve our post trade analysis.
- You display strong analytical and problem-solving skills, able to clean and analyse large datasets and dissect the results you’re seeing into real world explanations.
- You are able to communicate complex problems and collaborate with technical and non-technical teams.
- You are proactive and a self-starter, able to come up with ideas and solutions to improve our trading performance.
- You display pragmatism and are able to balance short term results with good design for future reiteration.
Role Requirements:
- Bachelor’s degree in related disciplines (Maths, CompSci, Physics or Stats).
- Interest in modelling sports data.
- Strong understanding of probability and statistical prediction.
- Proficiency with Python (including numpy, pandas) and SQL.
- Machine learning experience.
- Passion for professional sports and an understanding of sports rules is a must.
- Prior experience working in the sports betting industry or a trading environment either institutionally or for yourself.
Values
- Push to win.
- Make others better.
- Give a shit.
- Be a pro.
- Bring the energy.
Benefits and Values
We offer a competitive salary package and benefits, along with a dynamic and collaborative work environment. Your work with us will make an impact and your voice will be heard. We are a diverse team with a strong work ethic and plenty of hunger to win. We have designed our benefits offering around Health, Wealth, Lifestyle and Development. These include:
- Stock options which vest over 4 years.
- Pension scheme - an impressive pension scheme via Aviva. We will match 6% if you choose the same.
- Health insurance.
- Fresh fruit and snacks provided in the office every day! (tea, coffee and soft drinks also included).
- We are a member of a cycle to work scheme.
- £1000 yearly education budget that can be used on courses, conferences, books or training.
- 25 days paid holiday + bank holidays to enjoy - you have the choice to carry over 5 days to the next year!
- Flexible working - we want to provide a hybrid model approach to working and provide you with 2 days a week working from home.
- 20 days a year of global working - we provide the ability to work from anywhere in the world for up to 20 days a year.
- We will provide lunch every day in the office - you don’t need to worry about what to make or buy for lunch as we have it sorted with top quality food served by our in-house chef Alex!
Senior Quantitative Developer (London) employer: Smarkets
Contact Detail:
Smarkets Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Quantitative Developer (London)
✨Tip Number 1
Familiarise yourself with the latest trends in sports betting technology. Understanding how data analytics and machine learning are applied in this field can give you an edge during discussions with our team.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like NumPy and Pandas. Being able to demonstrate your coding proficiency in a practical setting will be crucial for this role.
✨Tip Number 3
Engage with our company culture by showcasing your passion for sports and your understanding of statistical modelling. This will help you connect with our values and demonstrate that you're a good fit for our team.
✨Tip Number 4
Prepare to discuss your previous experiences in trading or the sports betting industry. Highlighting specific examples of how you've improved trading strategies or analysed data will make you stand out.
We think you need these skills to ace Senior Quantitative Developer (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative development, particularly with Python and SQL. Emphasise any previous work in the sports betting industry or trading environments, as this will resonate well with Smarkets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports and how it aligns with Smarkets' mission. Discuss your analytical skills and problem-solving abilities, providing specific examples of how you've used these in past roles.
Showcase Technical Skills: Clearly outline your proficiency in Python, including libraries like numpy and pandas, as well as any machine learning experience. Mention any projects or achievements that demonstrate your ability to analyse large datasets and improve trading strategies.
Align with Company Values: Familiarise yourself with Smarkets' core values: push to win, make others better, give a shit, be a pro, and bring the energy. Reflect these values in your application by sharing experiences that demonstrate your commitment to teamwork, excellence, and a proactive approach.
How to prepare for a job interview at Smarkets
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, SQL, and any machine learning experience you have. Be prepared to discuss specific projects or challenges you've tackled using these skills, as this will demonstrate your capability to handle the technical demands of the role.
✨Understand the Betting Industry
Familiarise yourself with the sports betting landscape and Smarkets' position within it. Being able to discuss current trends, challenges, and innovations in the industry will show your genuine interest and help you stand out as a candidate who is not just technically skilled but also knowledgeable about the field.
✨Prepare for Problem-Solving Questions
Expect to face analytical and problem-solving questions during the interview. Practice breaking down complex problems and explaining your thought process clearly. This will demonstrate your ability to communicate effectively with both technical and non-technical teams, which is crucial for this role.
✨Emphasise Collaboration and Proactivity
Smarkets values collaboration and a proactive approach. Be ready to share examples of how you've worked in teams to achieve goals and how you've taken the initiative to improve processes or outcomes in previous roles. This will align well with their company culture and values.