Graduate Mathematical Software Developer

Develops and maintains statistical modelling software using C++, R, and C# to support sports analytics and predictive models.

Are you looking for your next challenge combining maths and software engineering? If you’re recently graduated or graduating this year with qualifications covering maths or a maths-related discipline as well as software engineering, value personal well-being, thrive on problem solving, and want to continue learning, we have a fantastic opportunity for you.

About the role
You would be joining our team of eleven in-house developers. Day to day work will involve working with our teams of statistical researchers and product owners to create, maintain and optimise code written mostly in R and C++, but also in C#, that runs as part of our mathematical models. You’ll initially be working under the guidance of more senior developers and will continually be encouraged to take ownership of your work as your skills progress.

As you'll be working with sports data, an interest in this field is beneficial, however you don't have to be a football fanatic or a cricket specialist to join our team. There's also so much more to us than sport, as a company we're passionate about social responsibility, sustainability, and employee well-being.

About us
We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical and mathematical models to predict sporting outcomes with unparalleled accuracy. 

We work using a flexible hybrid model. For this role we require the successful candidate to be in the office at least three days a week and to start their working days by 10am, however, outside of this, we're keen to work with you to find a working pattern that is beneficial for both you and us. We are ideally looking for someone who is able to work full time (40 hours), however we can consider part-time (minimum of 4 days a week).

Benefits of working with us
At heart, the ATASS Sports philosophy is that our employees should enjoy an excellent work/life balance and a collaborative and inclusive work environment that values their input and creativity. We offer great benefits and facilities in our office at Oxygen House (free plant-based meals 🍽️ , unlimited drinks ☕, gym, activities and sports classes 👟 , social and charity events🤝 ...and more), while also extending the flexibility of working from home.

On top of this you will have the opportunity to participate in our extensive range of company benefits, these include:

🏡Family and Finance Benefits - Enhanced parental leave, Contributory pension (matched up to 5%), Group life assurance, Employee assistance programme.

🩺Health Benefits - Private medical insurance, Private dental insurance, Virtual GP, Eye care vouchers, Flu Vaccinations.

🌳Green Benefits - Green travel incentive, Cycle to work scheme.

🏖️ Annual Leave - 25 days’, rising to 30 days’ after 5 years’ service. Plus 5 additional flex days.

Job requirements

You’re looking for an exciting opportunity to develop and contribute to the continued success of our software, integral to the company functioning as effectively as possible. You’ll have a calm and logical approach, with strong time management. Strong, adaptive communication is vital in this collaborative role, with the ability to explain complex concepts to non-technical people.

You’ll need the following:

• Be recently-graduated or due to graduate this year with qualifications covering maths or a maths-related discipline as well as software engineering.

• High integrity and comfortable with handling sensitive information (previous experience of this desirable).

• Experience with understanding statistics and statistical models.

• A genuine curiosity and eagerness to learn new technologies and approaches. If the successful candidate does not have C++ experience we will need them to learn this (and provide time and support to do this in the role).

• A can-do attitude, passion for problem-solving and a knack for finding elegant solutions.

• Beneficial skills: C++, R, C#, SQL.