Fixed-Odds Trader - Data-Driven Market Analyst (Weekend/Evening)

Fixed-Odds Trader - Data-Driven Market Analyst (Weekend/Evening)

Part-Time 30000 - 40000 £ / year (est.) No working from home possible
Predict responsibly

At a Glance

  • Tasks: Manage trading systems and analyse betting markets in a fast-paced environment.
  • Company: Predict Responsibly, a growing analysis team in the UK.
  • Benefits: Flexible evening and weekend shifts with growth opportunities.
  • Other info: Dynamic work culture with plenty of room for personal development.
  • Why this job: Perfect for curious minds who love challenges and data-driven insights.
  • Qualifications: Background in Mathematics or related fields is essential.

The predicted salary is between 30000 - 40000 £ per year.

Predict responsibly is expanding its in-house Analysis team in the United Kingdom, seeking a driven individual with a background in Mathematics or related fields. You will manage trading systems, work alongside developers, and ensure efficient operations in a dynamic and sometimes intense work environment.

The role requires availability for evening and weekend shifts, making it ideal for curious minds who thrive on challenges and have a good understanding of betting markets. Opportunities for personal and professional growth are abundant.

Fixed-Odds Trader - Data-Driven Market Analyst (Weekend/Evening) employer: Predict responsibly

Predict Responsibly is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those who thrive in fast-paced environments. With a strong emphasis on personal and professional development, employees are encouraged to expand their skills and knowledge while working alongside talented developers in the exciting world of betting markets. The unique opportunity to work evening and weekend shifts allows for flexibility, making it an attractive choice for individuals seeking meaningful and rewarding employment.

Predict responsibly

Contact Details:

Predict responsibly Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Fixed-Odds Trader - Data-Driven Market Analyst (Weekend/Evening)

Get Involved in Data Challenges

Participate in data challenges like Kaggle competitions or DrivenData to showcase your skills and network with other data enthusiasts. Not only will you build your portfolio, but you can also catch the eye of potential employers like Predict responsibly.

Connect with Local Data Communities

Join local data science meetups or online communities like Data Science Society to engage with professionals in the field. These platforms are great for networking, discovering job opportunities, and keeping your fingers on the pulse of industry trends.

Leverage Your University’s Resources

If you're still in university, make full use of your career services. They might have part-time roles tailored for students like you, and often have direct connections with companies looking to hire talented interns in data science roles.

Apply Directly Through Our Website

Don’t forget to check out our jobs at Predict responsibly and apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate individuals like us who are eager to make an impact in the data science world.

We think you need these skills to ace Fixed-Odds Trader - Data-Driven Market Analyst (Weekend/Evening)

Mathematics
Data Analysis
Trading Systems Management
Collaboration with Developers
Understanding of Betting Markets
Problem-Solving Skills
Adaptability

Some tips for your application 🫡

Show Your Data Skills:In your CV, make sure to highlight your proficiency with key data analysis tools and programming languages like Python, R, or SQL. We want to see that you've got hands-on experience with data manipulation and visualisation, so if you've worked on any relevant projects or coursework, include those details to really showcase your skills!

Tailor Your Projects Towards Data Science:When it comes to your portfolio, focus on showcasing projects that highlight your data-science abilities. Include analyses, dashboards, or any predictive models you've built. If you've contributed to Kaggle competitions or have a GitHub repository with data projects, make sure to link those—these demonstrate your practical experience and problem-solving abilities.

Express Your Motivation in the Cover Letter:Since this is a part-time role, we want to know why you're particularly interested in juggling this with your other commitments. Use your cover letter to express your passion for data science and how this role at Predict responsibly aligns with your career aspirations. Show us you're excited about learning and growing with us!

Keep It Concise Yet Informative:Part-time positions often receive many applications, so keep your documents clear and to the point! Aim for a concise CV detailing your relevant experiences without unnecessary fluff. Be sure to include your availability in your cover letter as well—that helps us in the decision-making process!

How to prepare for a job interview at Predict responsibly

Brush Up on Your Stats!

Given you're eyeing a part-time role in data science, make sure you’re on top of your statistical methods and data analysis techniques. Expect questions around regression, hypothesis testing, and maybe even some statistical programming languages like R or Python during the interview with Predict responsibly.

Show Off Your Projects!

It's crucial to have a portfolio that showcases your data science projects. Highlight your part-time work with specific data sets, models you've built, or analyses you've conducted. Having tangible examples will demonstrate your hands-on experience and problem-solving skills to Predict responsibly.

Familiarise Yourself with Tools of the Trade

Make sure you’re well-versed in data science tools like Jupyter Notebook, Tableau, or SQL. You might get technical questions or even a practical test at Predict responsibly, so having a comfort level with these tools will definitely be an advantage.

Be Ready to Discuss Real-World Applications

Since this is a part-time role, employers at Predict responsibly will likely appreciate your understanding of how data science can address actual business problems. Be prepared to discuss any relevant case studies or how you would approach specific challenges in real scenarios.