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- Tasks: Develop cutting-edge financial crime technology and optimise machine learning applications.
- Company: Leading financial technology firm 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 impact in the fintech industry.
- Qualifications: STEM degree, object-oriented programming experience, and knowledge of secure software practices.
- Other info: Collaborative environment with a strong emphasis on engineering excellence.
The predicted salary is between 30000 - 50000 £ per year.
A leading financial technology firm in Cambridge is seeking a passionate Software Engineer to join their Featurespace team. This hybrid role involves developing industry-leading financial crime technology and optimizing machine learning applications.
Candidates should possess a relevant STEM degree, experience with object-oriented programming, and familiarity with secure software development practices. An understanding of the full software development life cycle is essential.
The position emphasizes collaboration, engineering optimized applications, and improving analytical workflows.
Graduate Software Engineer – ML & Analytics in Cambridge employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Software Engineer – ML & Analytics in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or attend industry meetups. Building connections can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects, especially those related to machine learning and analytics. This will help us demonstrate our hands-on experience and passion for the field.
✨Tip Number 3
Ace the interview by practising common technical questions and coding challenges. We can use platforms like LeetCode or HackerRank to sharpen our skills and boost our confidence before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role.
We think you need these skills to ace Graduate Software Engineer – ML & Analytics in Cambridge
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for software engineering and machine learning shine through. We want to see that you’re genuinely excited about the role and the impact you can make in financial technology.
Tailor Your CV: Make sure your CV highlights relevant experiences and skills that align with the job description. We love seeing how your background in STEM and object-oriented programming fits into our team’s goals.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Graduate Software Engineer position.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity with the Featurespace team.
How to prepare for a job interview at Visa Inc.
✨Know Your Tech
Make sure you brush up on your object-oriented programming skills and any relevant technologies mentioned in the job description. Be ready to discuss your experience with machine learning applications and how you've applied them in past projects.
✨Understand the Company
Research the financial technology firm and their specific focus on financial crime technology. Understanding their products and how they use machine learning will help you tailor your answers and show genuine interest in the role.
✨Showcase Collaboration Skills
Since the role emphasises collaboration, think of examples where you've worked effectively in a team. Be prepared to discuss how you communicate with others and contribute to group projects, especially in a software development context.
✨Prepare for Technical Questions
Expect technical questions related to the full software development life cycle and secure software development practices. Practise explaining your thought process clearly and concisely, as this will demonstrate your problem-solving abilities and technical knowledge.
