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- Tasks: Develop advanced predictive sports models for trading and enhance technical platforms.
- Company: Amelco is a leading gaming software provider with global clients and innovative solutions.
- Benefits: Enjoy hybrid work flexibility, a generous pension scheme, and team bonding events.
- Why this job: Join a passionate team and influence the future of sports modelling in a dynamic environment.
- Qualifications: Bachelor's/Master's in Mathematics or related fields; programming skills in TensorFlow or similar required.
- Other info: Ideal for those with a passion for sports and innovation; limited experience considered.
The predicted salary is between 43200 - 72000 £ per year.
Amelco London Area, United Kingdom (Hybrid) Amelco UK Ltd are an industry-leading gaming and gambling solution software provider, with clients in the USA, Europe, Asia, and Africa. Our partnerships with global gaming companies have driven the development of state-of-the-art technical platforms, encompassing sportsbook, lottery, casino, virtual, and financial trading solutions. The Opportunity: We are seeking exceptional mathematicians and programmers to join our newly formed Quantitative Modelling Team. This is an exciting period of growth for Amelco, providing a unique opportunity for the right candidate to significantly influence the company’s future direction and success. Job Brief: As a Quantitative Analyst at Amelco, you will be responsible for developing advanced predictive sports models for both pre-game and in-play trading. While our primary focus is on soccer, tennis, and the major North American sports, we are continually exploring opportunities to enter new markets. Key Responsibilities: Contribute to the development and implementation of in-house models, replacing reliance on external feeds. Design internal code libraries to streamline the model development process. Ensure adherence to best practices in coding as the new codebase is developed. Develop tools for backtesting quant models against the market and external feeds. Collaborate with cross-functional teams to enhance our technical platforms. Stay updated with the latest industry trends and statistical methodologies. Minimum Requirements: Bachelors/Masters in Mathematics, Statistics, Theoretical Physics, or similar. PhD in Statistics or another area involving lots of work with messy data (e.g., Physics, Computational Biology). Extensive background in Bayesian inference, state-space models, filtering algorithms, etc. Excellent programming skills and experience implementing efficient algorithms for high-dimensional problems (ideally with TensorFlow, Julia, Google JAX). Any prior exposure to sports modelling would be a major advantage, but we will consider candidates with limited work experience. Why Join Us: Be part of a leading company in the gaming and gambling industry. Work on cutting-edge technology and innovative projects. Collaborate with a team of passionate and skilled professionals. Enjoy a dynamic and supportive work environment with opportunities for career growth. Generous pension scheme (Amelco to match up to 7% contribution) Discretionary bonus High-end working space Company social events for team bonding Location: The role is based in London, with flexibility for hybrid working for the right candidate. If you are a talented quantitative analyst with a passion for sports and a drive for innovation, we would love to hear from you. Apply now by uploading your CV and a Cover Letter to join our team and make a real impact in the gambling industry. #J-18808-Ljbffr
Quantitative Analyst – Sports Modelling employer: Amelco
Contact Detail:
Amelco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst – Sports Modelling
✨Tip Number 1
Familiarize yourself with the latest trends in sports modeling and predictive analytics. This will not only help you understand the industry better but also allow you to discuss relevant topics during your interview.
✨Tip Number 2
Brush up on your programming skills, especially in TensorFlow, Julia, or Google JAX. Being able to demonstrate your coding proficiency in these languages can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the gaming and gambling industry. Attend relevant meetups or online forums to connect with others who can provide insights or even referrals for the position.
✨Tip Number 4
Prepare to discuss your experience with Bayesian inference and state-space models. Be ready to share specific examples of how you've applied these concepts in past projects or research.
We think you need these skills to ace Quantitative Analyst – Sports Modelling
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Quantitative Analyst position. Familiarize yourself with the specific skills needed, such as Bayesian inference and programming languages like TensorFlow or Julia.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job description. Emphasize any background in sports modelling, statistical methodologies, and programming expertise.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for sports and quantitative analysis. Explain why you are interested in Amelco and how your skills can contribute to their innovative projects.
Highlight Relevant Projects: If you have worked on any projects related to predictive modelling or sports analytics, be sure to mention them in your application. This will demonstrate your practical experience and understanding of the field.
How to prepare for a job interview at Amelco
✨Showcase Your Mathematical Skills
Be prepared to discuss your background in mathematics and statistics. Highlight any relevant projects or research, especially those involving Bayesian inference or state-space models, as these are crucial for the role.
✨Demonstrate Programming Proficiency
Make sure to showcase your programming skills, particularly in languages like TensorFlow, Julia, or Google JAX. Be ready to explain how you've implemented efficient algorithms in past projects.
✨Discuss Sports Modelling Experience
If you have any experience in sports modelling, be sure to bring it up during the interview. Even if your experience is limited, showing enthusiasm and knowledge about the sports you’ll be working with can set you apart.
✨Stay Updated on Industry Trends
Research the latest trends in the gaming and gambling industry, especially related to predictive modelling. Being able to discuss current methodologies and technologies will demonstrate your commitment and interest in the field.
