Game Analyst (remote)

Game Analyst (remote)

City of London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop sports models for American football, baseball, tennis, and ice hockey.
  • Company: Join a dynamic firm blending startup freedom with established expertise.
  • Benefits: Enjoy flexible remote work options and competitive compensation.
  • Why this job: Be part of a growing team with creative autonomy and long-term expansion plans.
  • Qualifications: Strong quant background required; experience in sports quant teams preferred.
  • Other info: Opportunity to work on innovative projects in a regulated Asian market.

The predicted salary is between 36000 - 60000 £ per year.

Join my clients quant & data science team in an established firm with startup-style freedom to build sports models.

  • Develop American football, baseball, tennis & ice hockey models & more
  • Price same-game parlays using advanced stats
  • Work with quant engineers on dashboards & implementation

Strong quant background (Bachelor’s/Master’s; PhD a plus)

Experience in syndicate or sports quant teams

Expertise in US sports modeling preferred

R, Python, or similar programming proficiency

Creative autonomy in model development

Growing team with long-term expansion plans

Industry shifts & regulated Asian market entry

Game Analyst (remote) employer: Harrington Starr

As a Game Analyst at our London-based firm, you will thrive in a dynamic environment that combines the stability of an established company with the innovative spirit of a startup. We offer competitive compensation, flexible working arrangements, and a culture that fosters creativity and collaboration, allowing you to develop cutting-edge sports models while enjoying significant opportunities for professional growth. Join us to be part of a growing team that is at the forefront of industry shifts and poised for long-term expansion.
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Contact Detail:

Harrington Starr Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Game Analyst (remote)

✨Tip Number 1

Familiarise yourself with the latest trends in sports analytics, especially focusing on American football, baseball, tennis, and ice hockey. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Network with professionals in the sports quant field through platforms like LinkedIn or relevant forums. Engaging with industry experts can provide insights into the company culture and expectations, which can be invaluable during your application process.

✨Tip Number 3

Showcase your programming skills by working on personal projects or contributing to open-source sports analytics projects. This practical experience can set you apart from other candidates and give you concrete examples to discuss in interviews.

✨Tip Number 4

Prepare to discuss your previous experiences in syndicate or sports quant teams. Be ready to share specific examples of models you've developed or worked on, as this will highlight your expertise and fit for the role.

We think you need these skills to ace Game Analyst (remote)

Quantitative Analysis
Statistical Modelling
Programming Proficiency in R or Python
Data Science Techniques
Experience with Sports Analytics
Knowledge of American Football, Baseball, Tennis, and Ice Hockey
Dashboard Development
Problem-Solving Skills
Attention to Detail
Creative Thinking
Collaboration with Quant Engineers
Understanding of Betting Markets
Adaptability to Industry Changes
Strong Communication Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities of a Game Analyst. Familiarise yourself with the specific sports mentioned in the job description and the types of models you may be expected to develop.

Highlight Relevant Experience: In your CV and cover letter, emphasise any previous experience you have in sports quant analysis or working with betting syndicates. Be specific about the models you've developed and the programming languages you've used, such as R or Python.

Showcase Your Skills: Include examples of your quantitative skills and any relevant projects that demonstrate your ability to analyse data and create predictive models. This could include coursework, personal projects, or professional work.

Tailor Your Application: Make sure to tailor your application to reflect the unique aspects of this role. Mention your passion for US sports and how your background aligns with the company's goals, especially regarding their expansion plans and innovative approach.

How to prepare for a job interview at Harrington Starr

✨Showcase Your Quant Skills

Make sure to highlight your strong quantitative background during the interview. Be prepared to discuss specific projects or models you've worked on, especially those related to sports analytics. This will demonstrate your expertise and relevance to the role.

✨Familiarise Yourself with US Sports

Since the position focuses on American football, baseball, tennis, and ice hockey, it's crucial to show your knowledge of these sports. Brush up on recent trends, statistics, and any relevant news that could impact betting strategies.

✨Demonstrate Programming Proficiency

Be ready to discuss your experience with R, Python, or similar programming languages. You might be asked to solve a problem or explain how you would approach model development using these tools, so practice articulating your thought process.

✨Emphasise Creative Autonomy

The role offers creative freedom in model development, so be prepared to share examples of how you've innovated in past projects. Discuss your approach to problem-solving and how you can contribute to the team's growth and expansion plans.

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