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- Tasks: Analyse large data sets to enhance risk management and data quality.
- Company: Join a leading fintech company focused on innovation and risk analytics.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in risk operations while developing your analytical skills.
- Qualifications: Experience with data sets, SQL, and a passion for problem-solving.
The predicted salary is between 45000 - 55000 £ per year.
As a Merchant Risk Analytics Analyst, you will analyze large data sets in a complex environment, ensuring the overall accuracy of models and data while constantly enhancing data quality, adequateness, and granularity. You will play a critical role in Risk Operations, developing rules and models to detect, prevent, and manage risk within the Checkout.com merchant portfolio.
Responsibilities:
- Develop and manage efficient data pipelines for identifying potential risks.
- Maintain and optimise the current Risk and Fraud monitoring system.
- Create and implement controls to ensure the accuracy and completeness of risk data.
Qualifications:
- Experience working with large data sets in a data-driven environment is strongly preferred.
- Proficient in SQL and DBT to extract and model data from various sources.
- Ability to implement algorithms to solve business problems.
- Knowledge of the risk, fraud, and dispute domain is beneficial.
- Knowledge or experience in programming languages such as Python or Javascript is beneficial.
Risk Data Analyst Second Line Risk and Partnerships London employer: Checkout Ltd
Contact Detail:
Checkout Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Risk Data Analyst Second Line Risk and Partnerships London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Checkout.com. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! When you get the chance, demonstrate your SQL and data modelling prowess during interviews. Bring examples of how you've tackled data challenges in the past.
✨Tip Number 3
Stay updated on risk trends! Read up on the latest in risk management and fraud detection. Being knowledgeable about current issues will impress interviewers and show you're genuinely interested.
✨Tip Number 4
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 Risk Data Analyst Second Line Risk and Partnerships London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Merchant Risk Analytics role. Highlight your experience with large data sets and any relevant skills in SQL, DBT, or programming languages like Python. We want to see how your background fits our needs!
Showcase Your Skills: In your cover letter, don’t just list your qualifications—show us how you’ve used them in real-world scenarios. Talk about specific projects where you developed data pipelines or implemented controls for risk management. We love seeing practical examples!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it’s relevant to the role. We appreciate straightforward communication that gets right to the heart of your experience.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts and submit your materials!
How to prepare for a job interview at Checkout Ltd
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data sets you’ll be working with. Brush up on your SQL and DBT skills, and be ready to discuss how you've used them in past roles. Being able to talk confidently about your experience with data will show that you’re the right fit for the role.
✨Understand Risk and Fraud Concepts
Since this role is all about managing risk, it’s crucial to have a solid understanding of risk, fraud, and dispute domains. Do some research on current trends and challenges in these areas, and think about how they relate to the job. This will help you demonstrate your knowledge and enthusiasm during the interview.
✨Prepare for Technical Questions
Expect to face technical questions related to data analysis and algorithms. Brush up on your programming skills, especially in Python or Javascript, and be prepared to solve problems on the spot. Practising common interview questions can help you feel more confident when tackling these challenges.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you’ve developed and implemented controls to ensure data accuracy in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you clearly convey your thought process and problem-solving abilities, which are key for this position.