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- Tasks: Monitor global trading activity and ensure its accuracy in a fast-paced environment.
- Company: Leading analytics firm located in the vibrant City of London.
- Benefits: Competitive salary, flexible shifts, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of trading operations.
- Qualifications: BSc in Mathematics or Statistics, strong numeracy skills, and Excel proficiency.
- Other info: Ideal for detail-oriented graduates looking to kickstart their career.
The predicted salary is between 36000 - 60000 £ per year.
A leading analytics firm is looking for a high-calibre graduate for a Trading Operations role in the City of London. This position involves monitoring global trading activity and ensuring its accuracy.
Ideal candidates will have a BSc in Mathematics or Statistics and be detail-oriented. The role requires strong numeracy skills and proficiency in Microsoft Excel, with an additional desire to learn SQL. Flexibility for weekend shifts and a proactive attitude are essential for success in this dynamic environment.
Trading Ops Analyst (Maths/Stats/Econ) – 24/7 with Weekends employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Trading Ops Analyst (Maths/Stats/Econ) – 24/7 with Weekends
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or attend local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by brushing up on your maths and stats knowledge. Be ready to discuss how your skills apply to trading operations, and don’t forget to show off your Excel prowess!
✨Tip Number 3
Show your enthusiasm for the role! When you get the chance to chat with potential employers, let them know why you're excited about trading operations and how you can contribute to their team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect with us directly.
We think you need these skills to ace Trading Ops Analyst (Maths/Stats/Econ) – 24/7 with Weekends
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your BSc in Mathematics or Statistics right at the start. We want to see your strong numeracy skills and any experience you have with Microsoft Excel, so don’t hold back!
Be Detail-Oriented: Since this role is all about monitoring trading activity, it’s crucial to demonstrate your attention to detail. Use specific examples from your past experiences where you’ve had to be meticulous.
Flexibility is Key: We’re looking for someone who can handle weekend shifts, so mention your availability clearly. If you’ve worked in dynamic environments before, share those experiences to show us you can adapt!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and get you into the process smoothly.
How to prepare for a job interview at Datatech Analytics
✨Know Your Numbers
Brush up on your maths and stats knowledge before the interview. Be prepared to discuss how you've applied these skills in real-world scenarios, especially in trading or analytics contexts. This will show your potential employer that you can handle the numerical demands of the role.
✨Excel Mastery
Since proficiency in Microsoft Excel is crucial, make sure you can demonstrate your skills. Familiarise yourself with functions, pivot tables, and data analysis tools. You might even want to prepare a few examples of how you've used Excel in past projects to impress the interviewers.
✨SQL Savvy
While SQL isn't a must-have yet, showing a willingness to learn can set you apart. Brush up on basic SQL concepts and be ready to discuss how you plan to develop these skills. This proactive attitude will resonate well with the hiring team.
✨Flexibility and Proactivity
Highlight your flexibility regarding weekend shifts and your proactive approach to problem-solving. Share examples from your past experiences where you took the initiative or adapted to changing circumstances. This will demonstrate that you're ready for the dynamic environment of trading operations.