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- Tasks: Join a global fraud team, focusing on engineering and financial crime solutions.
- Company: Work with a leading financial institution tackling financial crime and fraud.
- Benefits: Enjoy a hybrid work model, competitive salary, bonuses, and great perks.
- Why this job: Make an impact in cybersecurity while developing scalable solutions in a dynamic environment.
- Qualifications: Strong full-stack engineering skills, preferably in Python or JavaScript; cloud experience is a plus.
- Other info: No financial crime experience needed; training provided for the right candidates.
The predicted salary is between 40000 - 58000 £ per year.
I’m currently representing a financial institution that is looking to bridge the gap between cybersecurity and data to fight financial crime and fraud. They are looking for data/software engineers with strong experience in engineering integrating databases and generating insights to fight financial crimes.
Location: Greater Manchester or Knutsford (Hybrid – 2 days on-site per week)
Salary: £50,000 – £67,000 base + bonus & benefits
What’s the Role?
I\’m looking for a Software and Data Engineer to join my client\’s global fraud team. This role is a mix of 80% engineering and 20% financial crime & service marketing, ideal for someone passionate about building scalable solutions in a fast-paced, high-impact environment.
What Makes You a Great Fit?
- Strong full-stack engineering background (Python or JavaScript preferred)
- Experience with large data sets and data engineering pipelines
- Cloud expertise is a huge plus (AWS, Snowflake, Databricks)
- Thrives in an agile/start-up-like environment with minimal red tape
- Strong stakeholder management skills – this role operates across Barclays’ sub-divisions
Key Tech & Skills:
- Cloud: Deployed data automation & microservices
- Databases: Structured & unstructured data
- Development: Python automation & application development
- CI/CD: Pipeline integration & deployment
Financial Crime Experience?
Not required! My client is happy to upskill candidates in fraud prevention and financial crime if they bring the right engineering mindset.
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!
Contact Detail:
Iceberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data/Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in cybersecurity and financial crime. Understanding the current landscape will not only help you in interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the financial sector, especially those working in fraud prevention. Engaging with industry experts can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your full-stack engineering skills, particularly in Python or JavaScript. Being able to discuss your past projects and how you've used these technologies will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with cloud technologies like AWS or Snowflake. Highlight any relevant projects where you've deployed data automation or microservices, as this is a key requirement for the role.
We think you need these skills to ace Senior Data/Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full-stack engineering experience, particularly with Python or JavaScript. Emphasise any work you've done with large data sets and data engineering pipelines, as well as your cloud expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building scalable solutions and your interest in the intersection of cybersecurity and financial crime prevention. Mention how your skills align with the role's requirements and your eagerness to learn about financial crime.
Showcase Relevant Projects: If you have worked on projects involving data automation, microservices, or CI/CD pipeline integration, be sure to include these in your application. Provide specific examples of how you contributed to these projects and the impact they had.
Highlight Stakeholder Management Skills: Since this role involves working across various sub-divisions, it's important to demonstrate your stakeholder management skills. Include examples of how you've successfully collaborated with different teams or departments in previous roles.
How to prepare for a job interview at Iceberg
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python or JavaScript in detail. Highlight specific projects where you've integrated databases and generated insights, especially those related to large data sets.
✨Demonstrate Your Cloud Expertise
If you have experience with AWS, Snowflake, or Databricks, make sure to mention it. Discuss how you've deployed data automation and microservices in previous roles, as this is a key requirement for the position.
✨Emphasise Agile Experience
Since the role thrives in an agile environment, share examples of how you've successfully worked in fast-paced settings. Talk about your adaptability and how you've navigated minimal red tape in past projects.
✨Prepare for Stakeholder Management Questions
Given that this role involves working across various sub-divisions, be ready to discuss your stakeholder management skills. Provide examples of how you've effectively communicated and collaborated with different teams in your previous roles.
