At a Glance
- Tasks: Research global fraud trends and create compelling content to combat fraud.
- Company: Join a leading tech firm dedicated to fighting fraud worldwide.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with opportunities to present at industry events.
- Why this job: Make a real difference in the fight against fraud while developing your analytical skills.
- Qualifications: Degree in STEM or relevant tech education, with strong data analysis skills.
The predicted salary is between 36000 - 60000 £ per year.
We are expanding our Fraud Intelligence Unit and need passionate fraud fighters to join our team. Reporting to the Global Fraud Intelligence Director, you will be responsible for the research and investigation of global fraud trends to assist in the creation and development of marketing and thought leadership content that supports our sales and marketing programs. This includes analyzing BioCatch data from all geographies to identify key trends, uncover interesting insights, and ultimately tell powerful stories about stopping fraud.
Key responsibilities:
- Analyze BioCatch data on a global and regional level.
- Conduct research and analysis of data from external sources.
- Identify fraud trends and data-driven insights that will drive a variety of materials, including our Digital Banking Fraud Trends reports, threat landscapes, and forensic case studies of real-life frauds and scams.
- Create written content that showcases the results of data analysis and tells compelling stories.
- Present findings in internal forums as well as externally at BioCatch events.
- Become an internal conduit for all intelligence sharing across BioCatch teams.
- Build and maintain a data repository and self-service dashboard, empowering internal teams with access to fraud data.
- Identify opportunities and implement process efficiencies and automation in data analysis.
Requirements:
- A bachelor’s/master’s degree in a STEM field and/or self-directed technology-focused education in programming for data analytics, with a passion for fighting fraud.
- Understanding of statistical modelling techniques.
- Experience with SQL to an intermediate/advanced level.
- Experience with Python and/or R (advantageous).
- Experience working with financial institutions’ fraud departments preferred.
- Strong written and verbal presentation skills.
- Good communications and teamwork.
- Self and a quick learner.
- Second/third languages preferred.
Fraud Intelligence Research Analyst in London employer: BioCatch
At BioCatch, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Fraud Intelligence Analyst, you will have access to cutting-edge tools and resources, along with ample opportunities for professional growth and development in the rapidly evolving field of fraud prevention. Located in a vibrant tech hub, our team enjoys a collaborative environment where creativity and data-driven insights are celebrated, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Fraud Intelligence Research Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the fraud intelligence space on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to fraud trends. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current fraud trends and data analysis techniques. We recommend having a few examples ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Fraud Intelligence Research Analyst in London
Some tips for your application 🫡
Show Your Passion for Fraud Fighting:When writing your application, let us see your enthusiasm for tackling fraud. Share any relevant experiences or projects that highlight your commitment to this cause. We love seeing candidates who are genuinely excited about making a difference!
Tailor Your Content:Make sure your written application speaks directly to the job description. Use keywords and phrases from the posting to demonstrate that you understand what we're looking for. This shows us that you’ve done your homework and are serious about joining our team.
Highlight Your Analytical Skills:Since the role involves analysing data and identifying trends, be sure to showcase your analytical skills in your application. Mention any relevant tools or techniques you've used, like SQL or Python, and how they helped you uncover insights in past projects.
Keep It Clear and Concise:We appreciate clarity! Make your application easy to read by keeping your sentences short and to the point. Avoid jargon unless it’s relevant, and ensure your passion and qualifications shine through without overwhelming us with too much information.
How to prepare for a job interview at BioCatch
✨Know Your Data
Make sure you brush up on your knowledge of data analysis, especially with SQL and any experience you have with Python or R. Be ready to discuss how you've used these tools in past projects, as this will show your technical prowess and passion for the role.
✨Research Fraud Trends
Dive deep into current fraud trends and case studies before your interview. Being able to discuss recent fraud incidents and how they relate to the work of the company will demonstrate your genuine interest and understanding of the industry.
✨Craft Compelling Stories
Since storytelling is key in this role, think about how you can present your findings in a way that captivates your audience. Prepare examples of how you've turned data into engaging narratives in previous roles or projects.
✨Showcase Teamwork Skills
This position requires collaboration across teams, so be prepared to share experiences where you've successfully worked with others. Highlight your communication skills and how you’ve contributed to team success in past roles.
