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- Tasks: Create innovative software solutions for financial crime technology and enhance workflows.
- Company: Leading financial technology company based in Cambridge with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a passionate team and make a real difference in financial technology.
- Qualifications: STEM degree and experience in software development, especially with Java and machine learning.
- Other info: Dynamic role with a focus on data-intensive applications and mission-critical services.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology company is seeking a passionate Software Engineer to join their team in Cambridge. In this hybrid role, you will work on innovative financial crime technology, delivering robust software solutions.
Candidates should have a relevant STEM degree and experience in software development, particularly with Java and machine learning frameworks.
The position involves improving workflows, engineering data-intensive applications, and providing support for mission-critical services.
Software Engineer – Machine Learning & Analytics in Cambridge employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer – Machine Learning & Analytics in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those involving Java and machine learning. This will help us demonstrate our expertise and passion for the role.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by solving coding challenges and brushing up on algorithms. We want to be confident when tackling those tricky questions!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress and stay updated on any new opportunities that pop up.
We think you need these skills to ace Software Engineer – Machine Learning & Analytics in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in software development, especially with Java and machine learning frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for financial technology and how you can contribute to our mission of delivering robust software solutions. Let us know why you’re excited about this opportunity!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've improved workflows or engineered data-intensive applications. We love seeing how you tackle challenges, so share those success stories with us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Visa Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your Java skills and any machine learning frameworks you've worked with. Be ready to discuss specific projects where you've applied these technologies, as the interviewers will want to see how you can contribute to their innovative financial crime technology.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you've improved workflows or engineered data-intensive applications in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Mission
Research the financial technology company and its approach to combating financial crime. Being able to articulate why you're passionate about this mission will set you apart. It shows that you’re not just looking for a job, but that you genuinely care about making a difference.
✨Ask Insightful Questions
Prepare thoughtful questions to ask at the end of your interview. Inquire about the team dynamics, the technologies they use, or how they measure success in their projects. This demonstrates your interest in the role and helps you gauge if it’s the right fit for you.
