At a Glance
- Tasks: Develop and implement risk models to detect and manage fraud effectively.
- Company: Join Checkout.com, a leading fintech company focused on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on career advancement.
- Why this job: Make a real impact in the world of finance by tackling fraud and risk.
- Qualifications: Experience with data analysis, SQL, and programming languages like Python or R.
The predicted salary is between 60000 - 80000 £ per year.
As a Senior Risk Data Scientist at Checkout.com, you will play a critical role in the Risk Team, developing rules and models to effectively detect, prevent and manage risk within the overall Checkout.com portfolio.
About You
- Worked with large data sets in a data-driven environment.
- Used SQL skills to extract and model data from a variety of data sources.
- Programming language knowledge or experience (e.g., Python, R, Javascript) is essential.
- Strong understanding of credit risk principles and has worked in either payments or lending environments previously.
- Experience developing, maintaining and implementing PD, LGD, EAD models for ECL measurement purposes is preferred.
What you will be doing:
- Build and maintain data-driven risk identification processes.
- Devise advanced analytical methods to identify anomalies and patterns within large data sets.
- Developing and implementing Rating Scorecards, PD, LGD, EAD models.
- Maintain and optimise the current Credit Risk reporting system.
Manager, Fraud and Risk Strategist employer: Checkout.com
At Checkout.com, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Risk Data Scientist, you will benefit from continuous professional development opportunities, collaborative teamwork, and the chance to make a significant impact in the fast-paced payments industry. Our London location offers a vibrant environment with access to cutting-edge technology and resources, making it an ideal place for innovative thinkers looking to advance their careers in risk management.
StudySmarter Expert Advice🤫
We think this is how you could land Manager, Fraud and Risk Strategist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Checkout.com. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! If you've got experience with SQL, Python, or any relevant programming languages, be ready to discuss specific projects where you used these skills. Real examples make you stand out!
✨Tip Number 3
Prepare for the technical side of things. Brush up on credit risk principles and be ready to talk about how you've developed and implemented models like PD, LGD, and EAD. Confidence in your knowledge is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of the Checkout.com team.
We think you need these skills to ace Manager, Fraud and Risk Strategist
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your experience with large data sets and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Talk About Your Programming Experience:If you've got experience with programming languages like Python or R, let us know! Share specific examples of how you've used these tools to tackle risk-related challenges.
Demonstrate Your Understanding of Credit Risk:Since this role is all about managing risk, it’s crucial to show us that you understand credit risk principles. Mention any relevant experience in payments or lending environments to strengthen your application.
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!
How to prepare for a job interview at Checkout.com
✨Know Your Data Inside Out
Make sure you’re familiar with large data sets and how to manipulate them. Brush up on your SQL skills and be ready to discuss specific examples of how you've used data to identify risks or anomalies in previous roles.
✨Showcase Your Programming Skills
Since programming knowledge is essential, be prepared to talk about your experience with languages like Python, R, or Javascript. Consider bringing a portfolio of projects or code snippets that demonstrate your ability to develop models or analytical methods.
✨Understand Credit Risk Principles
Dive deep into credit risk principles and be ready to discuss how they apply to payments or lending environments. Prepare to explain how you’ve developed or implemented PD, LGD, and EAD models in the past, as this will show your expertise in the field.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in risk management. Think of specific situations where you identified a risk and how you addressed it, as this will highlight your analytical thinking and decision-making abilities.
