At a Glance
- Tasks: Create and maintain sports betting forecasting models using advanced programming and data analysis.
- Company: Join OpenBet, a global leader in betting and gaming entertainment.
- Benefits: Attractive benefits, flexible working, and a supportive environment for career growth.
- Other info: Collaborative culture that values diversity and encourages creativity.
- Why this job: Make a real impact on the future of betting and gaming with innovative technology.
- Qualifications: Postgraduate qualification in a quantitative field and advanced programming skills required.
The predicted salary is between 36000 - 60000 £ per year.
OpenBet is a global leader in betting and gaming entertainment, trusted by over 200 partners to create memorable winning moments for millions of players worldwide. From processing bets during iconic events like the FIFA World Cup and Super Bowl to pioneering next-gen products like BetBuilder, we continuously redefine the player experience with high-quality content, cutting-edge technology, and advanced player protection tools.
The Quant Development unit of the Data Science team is looking for a Quant Developer that will be responsible for creating and maintaining sports betting forecasting models. The role will be based in London.
What you will be doing:
- Creates new player props markets from price feed and stats data.
- Adds significant new features and components to sports betting models to improve pricing in certain areas and markets.
- Owns the team's services such as Alerting for Traders.
- Manages data pipelines on the cloud and ensures they are efficient and scalable.
- Reduces tech debt whilst working on other tasks, for example introducing a new interface for market contracts.
- Collaborates and presents across team functions and communicates technical solutions effectively in Jira, Confluence and code.
- Works closely with product owners and software developers to move projects from idea to integration.
- Offers critical and concrete feedback in code reviews to ensure robust contributions like suggesting extra tests, spotting inconsistencies and helping resolve problems.
The Player:
- A postgraduate qualification in Data Science, Machine Learning, Statistics, Mathematics or a closely related quantitative field.
- 3+ years of working experience or a PhD in a quantitative field.
- Advanced programming skills: (a) object-oriented programming (C# or Python) and (b) databases (SQL and NoSQL).
- Experience with various modelling techniques (e.g. Probability Distributions, GLMs, Monte Carlo Simulations, Bayesian Inference, Time-Series Analysis etc.).
- A demonstrable interest in developing forecasting models for sports.
- A good understanding of betting concepts and markets.
Desirable Qualifications:
- 2+ years working experience in the betting industry.
- Knowledge of modern Machine Learning methodologies (e.g. Neural Networks, Random Forests, GBMs, SVMs etc.).
- Experience with cloud computing services.
- Experience with version control platforms (e.g. GitHub, Gitlab, Bitbucket etc.).
- Experience with Jira and Confluence.
Personal Attributes:
- Fluent in English (written and spoken).
- You must have a strong work ethic and outstanding interpersonal skills.
- You must be self-motivated, a team-player and a creative thinker.
What we can offer YOU:
- Attractive benefits, an open and supportive environment as well as a modern and exciting workplace.
- The opportunity to interact with global teams on a regular basis as you and our business continues to develop.
- Enjoy flexible working whilst we provide you with the guidance and development skills you need to progress and enhance your career.
- We have a collaborative office environment with our team members in office 2 days per week.
At OpenBet, we celebrate diversity and believe in creating an inclusive environment where every voice is valued and respected. We're committed to building a team that reflects the rich tapestry of humanity, embracing individuals from all walks of life, backgrounds, and identities.
Quant Developer employer: OpenBet
OpenBet is an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation. With a strong focus on employee development, we provide ample opportunities for growth within the thriving sports betting industry, making it an ideal place for professionals looking to make a meaningful impact in B2B technology services.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like OpenBet!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Quant Developer at OpenBet.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like OpenBet.
✨Apply Directly through Our Website
When you find a suitable opening like Quant Developer at OpenBet, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Quant Developer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at OpenBet, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at OpenBet. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at OpenBet
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at OpenBet!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
