Join our team as

Senior Quantitative Analyst

London
Full time
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About the role

Join the Team!

Huddle is a software partner for gaming operators of all sizes in regulated markets around the world.

We love sports and technology, and we build software that has a real impact for ambitious gaming operators. Our solutions help our partners thrive in a rapidly expanding global gaming landscape.

We understand that staying ahead of the competition and complying with regulations is challenging for gaming operators. Therefore, we develop solutions that assist them in growing their businesses, reducing costs, and effectively operating in multiple jurisdictions—all while delivering a better experience to customers.

Are you passionate about sports, data analysis, and cutting-edge algorithms? Do you have a multiple years of experience and a strong interest in quantitative research and software engineering? If so, we have an exciting opportunity for you to thrive and grow in a fast-paced environment.

Your Responsibilities

This is what you will be working on:

  • Performing advanced statistical analysis, predictive model development, implementation, and maintenance in order to provide powerful odds in comparison to industry standards along with best prices on the market, as well as improving specific sport models that predict required markets while developing trading tools and improving their prediction quality.
  • By working closely with the Data Engineering team, you will contribute to the enhancement of our sports betting platform by integrating new models and features.
  • In addition to your involvement in odds compilation, you will also delve into the realm of customer analytics.
  • As part of our team, you will have the opportunity to work on ad-hoc analyses, generating insightful reports for both our department and the wider organization.
Your qualifications

We are looking for professionals with these required skills to achieve our goals:

Education and work experience:

  • 4+ years of work experience in similar roles. 
  • Strong understanding of the betting industry or the specific domain the product operates in. This includes knowledge of market trends, customer preferences, and regulatory requirements.
  • At least bachelor’s degree in Mathematics, Physics, Statistics, or equivalent (Masters level is a strong plus).
  • Strong knowledge of probability theory, stochastic processes, numerical methods, and statistics.
  • Experience with at least one OO programing language (Java, C#, C++, Scala, Python).
  • Experience with at least one major messaging stack (Kafka/Pulsar/RabbitMQ or similar).
  • Experience with at least one major cloud provider (AWS preferred).
  • Strong knowledge of Python programming.
  • You have advanced level of experience of using Python libraries such as Pandas, Numpy, Seaborn or similar.
  • Experience of working with modern DevOps practices.
  • Analytically minded, able to understand and overcome technically complex challenges.
Nice to have

The following characteristics would be a plus:

  • Experience of working in a start-up environment.
  • Exposure to Apache Airflow.
  • Exposure to SQL querying.
  • Online courses, workshops, certifications, product oriented conferences.
  • Sports betting related courses and education.
Learn more about

The Application process

Our most usual application and selection process looks like this:

Pre-selection

based on your LinkedIn profile or CV. We are interested in your experience and roles on previous projects, your motivation, and your drivers, not just your skills. You’ll have a lot of opportunities anyway for learning and building up your skills.

Intro call

where you get a chance to meet up with our People and Culture team member and either the hiring manager or one of the seniors from the team. Since this is our first date, and expectations go both ways, we want to answer all the important questions.

Assignment

usually follows up after the Intro call, and it allows us to get deeper into the technical side, as well as your way of thinking. There is no perfect solution, only the right attitude – so simply do your best!

Technical interview

is our second date where we discuss the task, pick your brain around it, and learn how you approached the task and the challenges you might have encountered. Also, this is the right time and place to ask any unanswered questions we both might have, as we really want to make sure it feels like the best match on both ends.

Closing

is our favorite date, especially if it is a green light on both ends because we get to seal the deal with our offer, pop up the champagne, and send you the Welcome to Huddle email shortly afterward.

Apply for Senior Quantitative Analyst







    What Huddlers say

    Darko Britvec
    Development Lead

    “I like working at Huddle because I’m surrounded with a lot of positive and enthusiastic people. The working atmosphere is really encouraging. Huddle really cares about their employees, and supports them in their careers. Everyone knows what they are doing and are trying torn be the best in their field. There are not a lot of distractions so you can really focus on your work to provide the best solution for any problem.”

    Gary McCormack
    Quantitative Analyst

    “I’ve worked with Huddle from the beginning. The culture is great and the company hierarchy means that my voice is always heard. Huddle has provided me with great opportunities to develop my analytical skills; be it coding, mathematics, or analysis. I believe in the product, the vision, and our success.”

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    Maja Puček
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    Lucija Jakšić
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