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- Tasks: Analyse conversation data and optimise AI prompts to combat fraud.
- Company: Leading technology consulting firm with a focus on innovation.
- Benefits: Competitive salary, flexible scheduling, and professional development opportunities.
- Why this job: Make a real-world impact by leveraging data to fight fraud.
- Qualifications: Background in Computer Science, Python proficiency, and knowledge of scam tactics.
- Other info: Hybrid role based in London with a dynamic work environment.
The predicted salary is between 28800 - 48000 £ per year.
A leading technology consulting firm is seeking a talented Data Analyst – Mexican Spanish Specialist to leverage data for real-world impact. Located in London, this hybrid role involves:
- Analyzing conversation data
- Collaborating with Machine Learning teams
- Optimizing prompts for AI models
Ideal candidates will have a background in Computer Science, proficiency in Python, and a thorough understanding of scam tactics. The position offers a competitive salary, flexible scheduling, and opportunities for professional development.
Data Analyst - Fraud Detection (Mexican Spanish) Hybrid London employer: Grid Dynamics
Contact Detail:
Grid Dynamics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Fraud Detection (Mexican Spanish) Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research common questions for Data Analysts, especially around fraud detection and AI. Practise your answers and be ready to showcase your Python skills and understanding of scam tactics.
✨Tip Number 3
Show off your projects! If you've worked on relevant data analysis projects, create a portfolio to demonstrate your skills. This is a great way to stand out and show potential employers what you can bring to the table.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Analyst - Fraud Detection (Mexican Spanish) Hybrid London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and any relevant projects. We want to see how your skills align with the role, so don’t be shy about showcasing your Python prowess and understanding of scam tactics!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about fraud detection and how your background makes you the perfect fit for our team. Let us know what excites you about working with AI models!
Showcase Your Collaboration Skills: Since this role involves working closely with Machine Learning teams, highlight any past experiences where you’ve collaborated on projects. We love seeing teamwork in action, so share those stories that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Grid Dynamics
✨Know Your Data
Make sure you brush up on your data analysis skills, especially in Python. Be prepared to discuss specific projects where you've used data to identify fraud or scam tactics. This will show your potential employer that you can leverage data effectively.
✨Understand the Role
Familiarise yourself with the responsibilities of a Data Analyst in fraud detection. Research common scam tactics and think about how they relate to the data you'll be analysing. This knowledge will help you answer questions confidently and demonstrate your genuine interest in the role.
✨Collaborate Like a Pro
Since this role involves working with Machine Learning teams, be ready to talk about your experience collaborating with others. Share examples of how you've worked in teams to solve problems or optimise processes, as this will highlight your teamwork skills.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of your interview. Inquire about the company's approach to fraud detection or how they integrate AI into their processes. This shows that you're engaged and eager to contribute to their mission.
