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- Tasks: Conduct credit risk analysis and develop models using Python and SQL.
- Company: Join a leading Fintech Banking company known for innovation.
- Benefits: Enjoy a hybrid work model and a competitive day rate of £500-£600.
- Why this job: Be part of a fast-paced environment that drives business insights and supports lending decisions.
- Qualifications: Strong experience in Credit Risk Analysis and proficiency in Python and SQL required.
- Other info: This is a 6-month contract with potential for extension based on performance.
A leading Fintech Banking company is seeking a skilled Credit Risk Analyst for an initial 6-month contract, with the possibility of extension. This role will involve credit risk assessment, data analysis, and working with Python and SQL to drive business insights.
Key Responsibilities
- Conduct credit risk analysis to support business lending decisions
- Develop and optimize risk models using Python and SQL
- Work closely with stakeholders to provide data-driven insights
- Support regulatory and risk reporting
Key Requirements
- Strong experience in Credit Risk Analysis
- Proficiency in Python and SQL
- Experience in business lending
- Ability to work in a fast-paced Fintech environment
Why Join?
- Opportunity to work with an innovative Fintech Banking firm
- Hybrid work model for flexibility
- Competitive day rate (£500-£600)
- Potential for contract extension based on performance
Credit Risk Analyst employer: OFS
Contact Detail:
OFS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Credit Risk Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in credit risk analysis and Fintech. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Brush up on your Python and SQL skills by working on relevant projects or online courses. Being able to demonstrate your technical proficiency can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the Fintech sector, especially those who work in credit risk. Attend industry events or join online forums to make connections that could lead to referrals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive business insights in previous roles. Real-world applications of your skills can impress potential employers.
We think you need these skills to ace Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in credit risk analysis, proficiency in Python and SQL, and any relevant work in business lending. Use specific examples to demonstrate your skills.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are the perfect fit for the role. Mention your experience with credit risk assessment and how you can contribute to the company's goals. Be sure to express your enthusiasm for working in a fast-paced Fintech environment.
Highlight Relevant Skills: In your application, emphasise your technical skills, particularly in Python and SQL. Provide examples of how you've used these tools to develop risk models or drive business insights in previous roles.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Credit Risk Analyst.
How to prepare for a job interview at OFS
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any challenges you faced and how you overcame them.
✨Understand Credit Risk Fundamentals
Brush up on your knowledge of credit risk analysis and business lending. Be ready to explain key concepts and methodologies, as well as how they apply to the role you're interviewing for.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in a fast-paced environment. Think of examples from your past experience where you successfully navigated complex situations related to credit risk.
✨Engage with Stakeholders
Since the role involves working closely with stakeholders, be prepared to discuss how you communicate and collaborate with different teams. Share examples of how you've provided data-driven insights to support decision-making in previous roles.
