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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 43200 - 72000 £ 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 in London 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 in London
✨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! Prepare a portfolio showcasing your predictive models and any projects you've worked on using Python or SQL. This will not only demonstrate your expertise but also set you apart from other candidates.
✨Tip Number 3
Ace the interview! Research common questions for decision science roles and practice your responses. Be ready to discuss your experience with collections and fraud detection strategies, as this is key for the position.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Decision Scientist — Credit & Fraud Analytics in London
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, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about decision science and how you can contribute to our collections and fraud detection strategies. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on predictive models or analytics projects, make sure to mention them! We love seeing real-world applications of your skills, so include any relevant examples that demonstrate your expertise in the field.
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 from us!
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 give you an edge.
✨Understand the Financial Landscape
Familiarise yourself with current trends in financial services, especially around credit and fraud analytics. Being able to discuss recent developments shows your passion for the field and helps you connect with the interviewers.
✨Prepare Questions
Have insightful questions ready about the company's approach to decision science and their expectations for the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
