At a Glance
- Tasks: Support intelligence and investigations to protect sports integrity globally.
- Company: Join the world's leading sports technology company with a vibrant culture.
- Benefits: Flexible working hours, global team events, and well-being support.
- Other info: Diverse and inclusive community with excellent growth opportunities.
- Why this job: Kickstart your career in intelligence while making a real impact in sports.
- Qualifications: Analytical skills, OSINT experience, and a passion for research.
The predicted salary is between 30000 - 40000 £ per year.
Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.
More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.
Job Description
Sportradar Integrity Services is part of the Sportradar Group and the world's leading supplier of sports integrity solutions.
We work with sports governing bodies, law enforcement agencies, betting operators and other stakeholders to identify, investigate and mitigate integrity threats across global sport.
You will support Sportradar's intelligence, due diligence and investigative activities across either our Anti-Match-Fixing or Risk & Investigations teams.
Working alongside experienced analysts and investigators, you will contribute to intelligence collection, OSINT research, due diligence products and investigative projects that help protect the integrity of sport worldwide.
This role suits those seeking to start and develop a professional career in intelligence and investigation who will thrive working in a ground-breaking and fast-paced company.
- THE CHALLENGE
- Support due diligence products and intelligence-led investigations using an all-source approach.
- Collect, analyse and evaluate sensitive information and datasets to identify emerging trends, risks and patterns related to match-fixing and other integrity threats.
- Conduct OSINT research, monitoring and analysis to support investigations and due diligence projects.
- Produce a range of intelligence products, from concise analytical briefings to detailed investigative reports.
- Support the Integrity Services team with administrative, coordination and logistical support.
- Contribute to the suspicious match assessment and escalation processes within our industry-leading Bet Monitoring & Detection team.
- Support our industry leading Bet Monitoring & Detection sector of our Anti-Match-Fixing team and collaborate on group discussions and debates that drive our suspicious match escalation process.
- Work closely across multiple Sportradar functions and departments to protect and enhance Sportradar business operations, including internal and external training and education on sports integrity.
ABOUT YOU
You are naturally curious, analytical and detail-oriented, with a strong interest in research, intelligence gathering and investigations.
You enjoy working with information from multiple sources, identifying patterns and transforming findings into clear, actionable insights.
- What You'll Bring
- Strong analytical and problem-solving skills with the ability to interpret information from a wide variety of sources.
- Practical experience in OSINT tools, techniques and methodologies.
- Proficiency with Microsoft Excel, Power BI, Power Point, Word, Share Point and/or Power Automate.
- Ability to quickly learn and effectively use new systems, platforms and technologies.
- Excellent written communication skills, with the ability to clearly articulate findings, assessments and hypotheses.
- Strong organisational, note-taking and record-keeping skills, combined with meticulous attention to detail.
- Excellent communication and interpersonal skills.
- Ability to manage changing priorities and work effectively under pressure and to tight deadlines.
- High standards of confidentiality, integrity and professionalism.
- Fluency in English, both written and spoken. Other languages will be considered as an advantage.
Desirable
- Experience in research, due diligence, intelligence or investigations gained through areas such as law enforcement, journalism, corporate intelligence, financial crime, fraud investigations or cyber security is desirable but not necessary.
- Experience handling and analysing large or complex datasets.
- Broad understanding of global sport and the sports betting industry, with a desire to expand knowledge of the wider betting landscape.
- Awareness of integrity challenges affecting sport, including match-fixing, corruption, doping and safeguarding issues.
- Knowledge of sports integrity programmes, initiatives and best practices.
OUR OFFER
- A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.
- Flexibility to manage your workday and tasks with autonomy.
- A balance of structure and autonomy to tackle your daily tasks.
- Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
- Global Employee Assistance Programme.
- Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
- Online training videos.
- Flexible working hours.
OUR RECRUITMENT PROCESS
Initial Screening : A quick chat with our Talent Acquisition Partner to understand your background and expectations.
Hiring Team Interview : Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.
Assessment : Investigative task to showcase your technical skills.
Final Steps : Receive feedback and, if successful, an offer!
Additional Information
At Sportradar, we celebrate our diverse group of hardworking employees.
Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities.
All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time.
If you’re willing to learn and grow with us, we invite you to join our team!
Intelligence Associate in London employer: Sportradar
Sportradar is an exceptional employer that fosters a dynamic and innovative work culture in the heart of Greater London. With a strong focus on employee growth, we offer numerous opportunities for professional development and career advancement within the fast-paced sports media industry. Our commitment to diversity and collaboration ensures that every team member's voice is heard, making it a rewarding place to contribute to exciting projects and build lasting partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Intelligence Associate in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Sportradar!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Intelligence Associate at Sportradar.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sportradar.
✨Apply Directly through Our Website
When you find a suitable opening like Intelligence Associate at Sportradar, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Intelligence Associate in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Sportradar, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Sportradar. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Sportradar
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Sportradar!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.