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- Tasks: Join us to engineer data solutions that combat financial crime and fraud.
- Company: Work with a globally recognized financial institution focused on cybersecurity.
- Benefits: Enjoy a hybrid work model: 3 days on-site, 2 days remote.
- Why this job: Make a real impact in fighting financial fraud while growing your tech skills.
- Qualifications: Experience in financial services and proficiency in tools like Python, SQL, and Tableau required.
- Other info: Locations available in Northampton or Greater Manchester.
The predicted salary is between 48000 - 84000 £ per year.
I’m currently representing a financial institution who are looking to bridge the gap between cybersecurity and data to fight financial crime and fraud. They are looking for data engineers with strong experience in engineering and integration databases and generating insights to fight financial crimes.
What I\’m Looking For:
- Experience in financial services (cyber fraud, financial crime, or security).
- Knowledge of fraud and security signals (digital identity, biometrics, behavioral profiling).
- Understanding of malicious attack vectors (device spoofing, location manipulation, account takeover, identity fraud).
- Proficiency in development and analytical tools (Python, PHP, JavaScript, SQL databases, Hadoop, SAS).
- Familiarity with enterprise security frameworks (NIST Cybersecurity Framework, cyber-attack phases).
- Experience with data analytics platforms (SQL, SAS, Quantexa, Elastic Search, Tableau, Power BI).
- Strong technical background in computing, cybersecurity, and networks.
- Security Awareness – understanding of cyber threats, risks, and fraud trends (training provided)
Extra Information:
- Locations: Northampton or Greater Manchester
- Hybrid: 3 days on-site 2 days WFH
This is a fantastic opportunity to work at the intersection of cybersecurity and financial crime prevention, with a fantastic globally recognized financial institution.
If this sounds like you, I encourage you to apply!
Senior Data Engineer - Cyber Fraud employer: Iceberg Cyber Security
Contact Detail:
Iceberg Cyber Security Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Cyber Fraud
✨Tip Number 1
Make sure to highlight your experience in financial services, especially related to cyber fraud and financial crime. This will show that you understand the specific challenges and nuances of the industry.
✨Tip Number 2
Familiarize yourself with the latest trends in cyber threats and fraud. Being able to discuss current issues and solutions during your interview will demonstrate your proactive approach and expertise.
✨Tip Number 3
Brush up on your technical skills, particularly in Python, SQL, and data analytics platforms like Tableau or Power BI. Be prepared to discuss how you've used these tools in past projects to generate insights.
✨Tip Number 4
Understand the enterprise security frameworks mentioned in the job description, such as the NIST Cybersecurity Framework. Showing that you have a grasp of these concepts can set you apart from other candidates.
We think you need these skills to ace Senior Data Engineer - Cyber Fraud
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience in financial services, particularly in areas related to cyber fraud and financial crime. Use specific examples to demonstrate your expertise in engineering and integrating databases.
Showcase Technical Skills: Clearly list your proficiency in development and analytical tools such as Python, SQL, and Hadoop. Mention any relevant projects where you utilized these skills to generate insights or combat financial crimes.
Demonstrate Understanding of Cybersecurity: Illustrate your knowledge of malicious attack vectors and enterprise security frameworks. This could include discussing your familiarity with the NIST Cybersecurity Framework and how it applies to your work.
Tailor Your Application: Customize your CV and cover letter to align with the job description. Use keywords from the listing, such as 'fraud signals' and 'data analytics platforms', to ensure your application stands out to recruiters.
How to prepare for a job interview at Iceberg Cyber Security
✨Showcase Your Relevant Experience
Make sure to highlight your experience in financial services, especially related to cyber fraud and financial crime. Be prepared to discuss specific projects or roles where you successfully integrated databases or generated insights that contributed to fraud prevention.
✨Demonstrate Technical Proficiency
Familiarize yourself with the development and analytical tools mentioned in the job description, such as Python, SQL, and Hadoop. During the interview, be ready to discuss how you've used these tools in past projects to solve complex problems.
✨Understand Cybersecurity Concepts
Brush up on your knowledge of malicious attack vectors and enterprise security frameworks like the NIST Cybersecurity Framework. Being able to articulate your understanding of these concepts will show your potential employer that you're well-versed in the field.
✨Prepare for Behavioral Questions
Expect questions about how you've handled challenges related to cybersecurity and data integration in the past. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide clear examples of your problem-solving skills.
