At a Glance
- Tasks: Design and deploy machine learning models to combat financial crime.
- Company: Join Barclays, a leader in financial services, in a dynamic team.
- Benefits: Competitive salary, career growth, and a chance to make a difference.
- Other info: Office-based role in Canary Wharf, London with a collaborative environment.
- Why this job: Be at the forefront of technology while tackling real-world financial challenges.
- Qualifications: Strong machine learning and Python skills; financial services experience is a bonus.
The predicted salary is between 60000 - 80000 € per year.
hackajob is collaborating with Barclays to find an Integrated Financial Crime Model Developer in Greater London. The role involves designing and deploying machine learning models for financial crime detection.
Responsibilities include:
- Developing analytics solutions
- Maintaining existing models
- Ensuring compliance with Barclays Enterprise Risk Management Policies
The ideal candidate has:
- Strong machine learning experience
- Advanced Python skills
- Familiarity with Databricks
- A background in financial services is a plus
This position is office-based in Canary Wharf, London.
Financial Crime ML Model Architect employer: hackajob
Barclays is an exceptional employer, offering a dynamic work environment in the heart of Canary Wharf, London. With a strong focus on employee development and innovation, we provide comprehensive training opportunities and a collaborative culture that encourages growth and creativity. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Financial Crime ML Model Architect
✨Tip Number 1
Network like a pro! Reach out to folks in the financial crime and machine learning space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. It’s a great way to demonstrate your advanced Python skills and ML expertise.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of compliance and risk management policies. Being able to discuss how your models align with Barclays' standards will set you apart.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you ace the application process and land that dream job at Barclays.
We think you need these skills to ace Financial Crime ML Model Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Financial Crime ML Model Architect. Highlight your machine learning experience and Python skills, and don’t forget to mention any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about financial crime detection and how your background in financial services makes you a great fit for the team at Barclays.
Showcase Your Technical Skills:Since this role requires advanced Python skills and familiarity with Databricks, make sure to include specific examples of how you've used these technologies in your previous work. We want to see your technical prowess!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at hackajob
✨Know Your Machine Learning Models
Make sure you brush up on your machine learning knowledge, especially the models relevant to financial crime detection. Be ready to discuss how you've designed and deployed similar models in the past, and think of specific examples that showcase your expertise.
✨Show Off Your Python Skills
Since advanced Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
✨Familiarise Yourself with Databricks
If you're not already familiar with Databricks, take some time to learn the basics. Understand how it integrates with machine learning workflows and be prepared to discuss how you would use it in the context of financial crime analytics.
✨Understand Compliance and Risk Management
Since compliance with Barclays Enterprise Risk Management Policies is crucial, make sure you understand the key principles of risk management in financial services. Be ready to discuss how you would ensure that your models align with these policies and contribute to overall risk mitigation.
