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For Companies At a Glance
- Tasks: Develop cutting-edge machine learning models to tackle fraud and credit risk.
- Company: Leading global financial services firm with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for career advancement.
- Why this job: Join an innovative team and shape the future of digital banking in the UK and Europe.
- Qualifications: Strong Python programming skills and 4+ years in data science or machine learning.
- Other info: Be part of a dynamic environment with significant impact on financial services.
The predicted salary is between 48000 - 72000 £ per year.
A leading global financial services firm is seeking a Senior Associate for their ICB Risk Modelling team based in Greater London. This role involves developing state-of-the-art machine learning models to mitigate fraud and credit risk.
Candidates should have a strong background in Python programming and at least 4 years of experience in data science or machine learning.
Join an innovative team and make an impact in the ongoing expansion of the Chase digital bank across the UK and Europe.
Senior AI Risk Modeling Specialist in London employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Risk Modeling Specialist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working with AI and risk modelling. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your machine learning projects, especially those related to fraud and credit risk. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Ace the interview by practising common questions related to AI and risk modelling. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior AI Risk Modeling Specialist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Python programming and data science. We want to see how your skills align with the role of a Senior AI Risk Modeling Specialist, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about mitigating fraud and credit risk. We love seeing candidates who can connect their personal motivations to our mission at StudySmarter.
Showcase Your Experience: When detailing your experience, focus on specific examples where you've developed machine learning models. We’re looking for concrete results, so if you’ve made an impact in previous roles, let us know!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Models
Make sure you can discuss the machine learning models you've developed in detail. Be prepared to explain your approach to mitigating fraud and credit risk, as well as the specific algorithms you used and why they were effective.
✨Showcase Your Python Skills
Since a strong background in Python is crucial for this role, brush up on your coding skills. Be ready to solve a coding challenge or discuss your past projects that involved Python programming during the interview.
✨Understand the Company’s Vision
Research the financial services firm and their digital banking initiatives. Understanding their goals and how your role fits into their expansion plans will show your genuine interest and help you align your answers with their objectives.
✨Prepare Questions
Have insightful questions ready to ask your interviewers. This could be about the team dynamics, the challenges they face in risk modelling, or how they measure success in their projects. It shows you're engaged and thinking critically about the role.
