At a Glance
- Tasks: Lead engineering teams to develop AI-powered fraud detection solutions.
- Company: Top financial tech firm in Belfast with a focus on innovation.
- Benefits: Flexible work schedules, comprehensive benefits, and a supportive culture.
- Why this job: Shape the future of financial security while working remotely.
- Qualifications: 5-7 years in senior engineering roles, skilled in Scala or Go.
- Other info: Inclusive work environment with opportunities for professional growth.
The predicted salary is between 70000 - 90000 £ per year.
A leading financial technology firm in Belfast is looking for a Lead Engineer to head engineering teams in building financial crime detection solutions. The ideal candidate has 5-7 years of experience in senior engineering roles, skilled in Scala or Go, and proficient with tools like Kubernetes and Docker. The role involves ensuring high-quality deliverables and fostering an inclusive work culture. Join in shaping the future of financial security while enjoying flexible work schedules and comprehensive benefits.
Lead Software Engineer – AI-Powered Fraud Detection, Remote in Belfast employer: Napier AI
Contact Detail:
Napier AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer – AI-Powered Fraud Detection, Remote in Belfast
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who work with AI and fraud detection. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Scala or Go, especially any that relate to financial crime detection. 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 technical knowledge and soft skills. Practice common interview questions related to engineering leadership and team dynamics, as they’ll want to see how you foster an inclusive culture.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Lead Software Engineer – AI-Powered Fraud Detection, Remote in Belfast
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in senior engineering roles, especially with Scala or Go. We want to see how your skills align with our needs in building financial crime detection solutions.
Showcase Your Projects: Include specific examples of projects you've worked on that involved Kubernetes and Docker. We love seeing real-world applications of your skills, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about financial security and how you can contribute to fostering an inclusive work culture at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Napier AI
✨Know Your Tech Stack
Make sure you brush up on Scala or Go, as well as Kubernetes and Docker. Be ready to discuss your experience with these tools in detail, including specific projects where you've used them. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Leadership Skills
As a Lead Software Engineer, you'll be heading teams, so it's crucial to demonstrate your leadership abilities. Prepare examples of how you've successfully led engineering teams in the past, focusing on how you fostered collaboration and inclusivity within your team.
✨Understand Financial Crime Detection
Familiarise yourself with the basics of financial crime detection solutions. Being able to discuss current trends and challenges in this area will show your genuine interest in the role and the company's mission. It’s all about connecting your technical skills to the bigger picture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and the specific challenges they face in building fraud detection solutions. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.