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- Tasks: Develop predictive models to boost collections and fraud detection strategies.
- Company: Leading financial services organisation in Greater London.
- Benefits: Hybrid working, competitive benefits, and personal development focus.
- Why this job: Make a real impact in financial analytics while growing your skills.
- Qualifications: Minimum two years in financial services with Python or SQL expertise.
- Other info: Exciting opportunity for career advancement in a dynamic environment.
The predicted salary is between 42000 - 84000 £ per year.
A financial services organization in the Greater London area is looking for a Senior Analyst for Decision Science. The role involves developing and maintaining predictive models to enhance collections and fraud detection strategies.
Candidates should have at least two years of experience in financial services and strong programming skills in Python or SQL.
This position offers a hybrid working pattern, competitive benefits, and a focus on personal development.
Senior Decision Scientist — Credit & Fraud Analytics employer: Information Commissioner's Office
Contact Detail:
Information Commissioner's Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Decision Scientist — Credit & Fraud Analytics
✨Tip Number 1
Network like a pro! Reach out to folks in the financial services sector, especially those working in decision science. A friendly chat can open doors and give you insights that might just land you that Senior Decision Scientist role.
✨Tip Number 2
Show off your skills! When you get the chance to interview, be ready to discuss your experience with predictive models and programming in Python or SQL. Bring examples of your work to the table; it’ll make you stand out!
✨Tip Number 3
Don’t forget to research the company! Understanding their collections and fraud detection strategies will not only impress them but also help you tailor your answers during interviews. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re all about personal development, so let’s get you on the path to that dream job together!
We think you need these skills to ace Senior Decision Scientist — Credit & Fraud Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in financial services and showcases your programming skills in Python or SQL. We want to see how your background aligns with the role of Senior Decision Scientist.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about decision science and how you can contribute to our collections and fraud detection strategies. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on predictive models or analytics projects, don’t hold back! Share specific examples that demonstrate your expertise and problem-solving skills. We love seeing real-world applications of your work.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Information Commissioner's Office
✨Know Your Models
Make sure you can discuss the predictive models you've developed in detail. Be ready to explain your approach, the algorithms you used, and how they improved collections or fraud detection strategies.
✨Brush Up on Your Coding Skills
Since strong programming skills in Python or SQL are crucial, practice coding problems related to data manipulation and analysis. You might be asked to solve a problem on the spot, so being sharp will definitely give you an edge.
✨Understand the Business Context
Familiarise yourself with the financial services landscape, especially around credit and fraud analytics. Being able to relate your technical skills to real-world applications will show that you understand the bigger picture.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their current projects, team dynamics, and personal development opportunities. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
