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- Tasks: Join a global fraud team, focusing on engineering and financial crime insights.
- Company: Work with a leading financial institution tackling financial crime and fraud.
- Benefits: Enjoy hybrid work, 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 43000 - 59000 £ 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!
Senior Data/Software Engineer employer: Iceberg
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 during 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. Attend industry events or join relevant online forums to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Showcase your engineering projects that involve data integration and automation. Be prepared to discuss specific challenges you faced and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Research the company’s values and mission, particularly their approach to fighting financial crime. Tailoring your conversation to align with their goals can set you apart from other candidates.
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 that demonstrate your problem-solving skills and ability to thrive in an agile environment.
Highlight Stakeholder Management Skills: Since this role involves working across various sub-divisions, it's important to showcase 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, as well as your work with large data sets and data engineering pipelines. Highlight specific projects where you've successfully integrated databases and generated insights.
✨Demonstrate Cloud Expertise
If you have experience with cloud platforms like 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 aspect of the position.
✨Emphasise Agile Experience
Since the role thrives in an agile/start-up-like environment, share examples of how you've adapted to fast-paced settings. Talk about your ability to manage projects with minimal red tape and how you collaborate effectively with teams.
✨Prepare for Stakeholder Management Questions
This role requires strong stakeholder management skills, so be ready to discuss how you've worked across different teams or divisions in the past. Provide examples of how you've communicated technical concepts to non-technical stakeholders.
