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- Tasks: Develop credit models and analyse data to manage credit risk effectively.
- Company: Join an award-winning fintech firm known for innovation and growth.
- Benefits: Enjoy fully remote work options and a competitive day rate.
- Why this job: Be part of critical projects in a high-growth environment with a recognised leader.
- Qualifications: Strong SQL skills, Python programming, and experience in credit modelling required.
- Other info: Contract is rolling for 6 months, with potential extensions.
Job Title:
Credit Risk Analyst – Contract (Inside IR35)
Location:
UK – Fully Remote or Hybrid (Flexible)
Contract Type:
6-Month Rolling Contract (Inside IR35)
Day Rate:
£550-£750 per day (Dependent on Experience)
Start Date:
ASAP
Overview:
We are working with an award-winning fintech firm, part of the Orbis Group network, seeking multiple Credit Risk Analysts to support their expanding business lending operations. These roles are fully remote and offer an exciting opportunity to work on critical credit risk projects in a high-growth environment.
Key Responsibilities:
- Develop and implement credit models to manage and mitigate credit risk
- Optimise underwriting strategies to enhance lending performance
- Analyse large datasets and contribute to the decision-making process through data-driven insights
Essential Skills & Experience:
- Strong proficiency in SQL for data analysis
- Solid programming experience with Python
- Proficient in using Looker for data visualisation and reporting
- Familiarity with Google Cloud Platform (GCP) is a plus
- Demonstrated experience in building and deploying credit models in a lending environment
Why Apply:
- Join a recognised fintech leader with a proven track record in innovation
- Fully remote working available, with flexibility to work hybrid if preferred
- Competitive day rate and likely contract extensions
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Credit Risk Analyst employer: Orbis
Contact Detail:
Orbis 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
Network with professionals in the fintech space, especially those who work in credit risk. Attend relevant webinars or join online forums to connect with potential colleagues and learn about their experiences.
✨Tip Number 3
Brush up on your SQL and Python skills by working on real-world projects or contributing to open-source initiatives. This practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data analysis to drive decision-making in previous roles. Highlighting your ability to turn data into actionable insights will resonate well with hiring managers.
We think you need these skills to ace Credit Risk Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in credit risk analysis, SQL proficiency, and any programming skills, particularly in Python. Use keywords from the job description to align your skills with what the fintech firm is looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for fintech and your understanding of credit risk management. Mention specific projects or experiences where you developed credit models or optimised underwriting strategies.
Showcase Data Skills: In your application, emphasise your experience with data analysis and visualisation tools like Looker. Provide examples of how you've used these skills to drive decision-making in previous roles.
Highlight Remote Work Experience: Since the role offers fully remote options, mention any previous remote work experience. Discuss how you effectively manage your time and collaborate with teams in a virtual environment.
How to prepare for a job interview at Orbis
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python 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.
✨Demonstrate Data Analysis Experience
Since the role involves analysing large datasets, come equipped with examples of how you've contributed to decision-making through data-driven insights. Discuss any tools you've used, like Looker, to visualise data effectively.
✨Understand Credit Risk Models
Familiarise yourself with credit risk models and underwriting strategies. Be ready to explain how you've developed or implemented these models in previous roles, and how they impacted lending performance.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's credit risk projects and their approach to innovation. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
