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- Tasks: Conduct credit risk analysis and develop risk models using Python and SQL.
- Company: Join a leading Fintech Banking company at the forefront of innovation.
- Benefits: Enjoy a hybrid work model and potential contract extension based on performance.
- Why this job: Be part of a fast-paced environment that drives impactful business insights.
- Qualifications: Strong experience in Credit Risk Analysis and proficiency in Python and SQL required.
- Other info: This is a 6-month contract with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
OFS Greater London, England, United Kingdom
Location: United Kingdom (Hybrid)
Contract Type: 6-Month Contract (Potential Extension)
About the Role
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
- Potential for contract extension based on performance
Seniority level
Not Applicable
Employment type
Contract
Job function
Finance
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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, especially within the Fintech sector. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the role.
✨Tip Number 2
Network with professionals in the Fintech industry, particularly those working in credit risk. Attend relevant meetups or webinars to make connections and gain insights that could give you an edge in your application.
✨Tip Number 3
Brush up on your Python and SQL skills by working on real-world projects or case studies. Being able to discuss specific examples of how you've used these tools in past experiences can set you apart from other candidates.
✨Tip Number 4
Prepare for potential technical assessments by reviewing common credit risk models and data analysis techniques. Being well-prepared will boost your confidence and showcase your expertise during the interview process.
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, Python, and SQL. Use specific examples from your past roles that demonstrate your ability to conduct credit risk assessments and develop risk models.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the Fintech industry. Mention how your skills align with the job requirements and provide examples of how you've successfully used data analysis to drive business insights.
Highlight Relevant Skills: Clearly outline your proficiency in Python and SQL in both your CV and cover letter. Consider including any relevant projects or achievements that showcase your technical skills and ability to work in a fast-paced environment.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and presented professionally.
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 the key metrics involved. Be ready to explain how you assess credit risk and the methodologies you use, as this will demonstrate your expertise in the field.
✨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 data-driven insights effectively. Share examples of how you've collaborated with different teams to support business decisions.
