At a Glance
- Tasks: Lead fraud analytics, improve detection, and mentor bank analysts.
- Company: Capitex, a leading consultancy in the banking sector.
- Benefits: Remote work for two months, then onsite in vibrant Kuwait City.
- Other info: Exciting opportunity with a dynamic team and career growth potential.
- Why this job: Make a real impact in fraud prevention while developing your skills.
- Qualifications: Experience in data analytics and a passion for fraud detection.
The predicted salary is between 59400 - 72600 £ per year.
Capitex is engaging a consultant-level Fraud Data Analyst for a 6-month engagement at a leading regional bank.
You will own the analytics agenda, drive detection improvements, and mentor the bank's analysts.
The role spans remote UK work for the first two months, then onsite in Kuwait City from Month 3 to 6.
You will query across digital channels, card fraud, case management, and core banking data to identify patterns, design rules, and build dashboards to track performance and losses.
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Fraud Data Analytics Consultant - Remote, Onsite Kuwait employer: Capitex
Capitex offers a dynamic and supportive work environment for the L2 Fraud Analyst role, where employees are empowered to make evidence-driven decisions in a fast-paced digital fraud operations team. With a strong focus on employee growth and development, the company provides unique benefits such as a housing allowance for those relocating to Kuwait City, fostering a culture of collaboration and innovation that makes it an excellent employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Data Analytics Consultant - Remote, Onsite Kuwait
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Capitex before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Capitex.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Capitex.
We think you need these skills to ace Fraud Data Analytics Consultant - Remote, Onsite Kuwait
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Capitex, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Capitex, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Capitex’s attention and show the tangible impact of your work.
How to prepare for a job interview at Capitex
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Capitex.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Capitex.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Capitex.
