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Graduate Quantitative Trading Analyst - Leeds Based

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William Hill

Jun 3, 2024

Applications are closed

  • Job
    Full-time
    Entry Level
  • Banking & Finance
  • Leeds

Requirements

  • We are committed to responsible gambling, and we are looking for people who can support our ethos. To apply to this post, you will have:
  • Proficiency in statistical analysis and modeling techniques, with a strong foundation in mathematical principles, acquired through a first-class honors or postgraduate degree in a numerate subject such as Mathematics, Statistics, Physics, or Computer Science.
  • Demonstrated interest and knowledge in sports betting and bookmaking, coupled with a keen enthusiasm for sports, providing valuable insight into the industry and its dynamics.
  • Strong problem-solving skills and a proactive approach to tackling challenges, coupled with the ability to work effectively under pressure and meet deadlines, ensuring timely delivery of results and solutions.
  • Technical acumen, including proficiency in statistical programming languages like R or Python, general-purpose programming languages such as Java, Python, or JavaScript, and experience with databases (e.g., MySQL) and cloud technologies (preferably AWS). Prior experience with big data technologies (e.g., Apache Spark) and machine learning frameworks (e.g., TensorFlow, Scikit-learn) is also advantageous, along with a track record of building mathematical models in a professional setting.

Responsibilities

  • Playing a key role in building statistical models, ensuring that everything we produce meets the needs of the business and our customers
  • Bringing ideas with the opportunity to analyse the way we work
  • Using mathematical techniques and modelling to improve our performance and profitability
  • Presenting analysis to various audiences in a way that they will understand
  • Continuously learning and developing
  • Using cutting-edge tools and techniques to find new ways to improve model accuracy and bring exciting new opportunities for our customers and sports traders.

FAQs

What skills are required for the role of Graduate Quantitative Trading Analyst in Leeds?

The role requires strong quantitative skills, proficiency in statistical modeling, and the ability to work with large datasets. Knowledge of programming languages such as Python, R, or SQL is also essential.

What will be the main focus of my responsibilities as a Quantitative Trading Analyst in Leeds?

Your main focus will be developing statistical models for trading platforms, generating odds for sports events, and analyzing customer behavior to inform marketing strategies.

What is the company culture like for Quantitative Trading Analysts in Leeds?

Our team in Leeds is known for being collaborative and innovative. We value teamwork and encourage continuous learning and development.

How will my work impact the company's operations as a Quantitative Trading Analyst in Leeds?

Your work will directly impact the company's bookmaking operations, helping drive a turnover of over £4 billion annually. Your models will drive decision-making and enable targeted marketing strategies.

Are there opportunities for career growth and advancement as a Graduate Quantitative Trading Analyst in Leeds?

Yes, we offer opportunities for career growth and advancement within our company. We value and invest in our employees' development and offer opportunities for progression within the team.

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William Hill

Join us #behindthebet

Technology
Industry
10,001+
Employees
1934
Founded Year

Mission & Purpose

With over 16,000 people worldwide, we make a huge investment in everyone, offering great career development opportunities. Our people make William Hill what it is and we offer a fast-paced environment where we have fun, celebrate success and give you all the tools you’ll need to be your best self. It’s not just our colleagues we look after – we’ve got a responsibility to our customers too and we work hard on our ambition that nobody is harmed by gambling.

Benefits

  • 401K Plan

  • Paid Holidays

  • Maternity & Paternity Leave

  • Health Insurance

  • Vacation & Paid Time Off

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