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- Tasks: Join us as a Junior Python Expert focusing on Credit Risk analysis and modelling.
- Company: Be part of a fast-growing consultancy that partners with top financial institutions.
- Benefits: Enjoy amazing perks like client commissions, bonuses, healthcare, and potential equity.
- Why this job: This is a unique chance to shape your career in a dynamic environment with significant growth potential.
- Qualifications: Advanced Python skills and UK Credit Risk experience are essential; a quantitative degree is preferred.
- Other info: You'll be one of the first team members, making a real impact from day one.
The predicted salary is between 36000 - 60000 £ per year.
Junior Python Expert – Credit Risk For this role we can only accept applicants who have Advanced Python skills and experience in Credit Risk – ideally exposure to wholesale IRB Loss Give Default LGD models. You’ll be able to commute to London on a full time basis and be a UK Resident. There are some incredible benefits on offer here including super healthy client introduction commissions and a company Bonus scheme, healthcare etc4. You’ll be one of the first members of this Boutique Consultancy which means the potential to earn equity and share in the success of the Business. The Client:The Client are a fast-growing consultancy specialising in risk analytics and modelling services for leading financial institutions. Working with Tier 1 banks and other major clients, they provide cutting-edge solutions in credit risk, stress testing, capital adequacy & Data Management. Central London based. Requirements:For this role we can only accept applicants who have Advanced Python skills and UK Credit Risk experience – ideally wholesale models. You’ll be able to commute to London on a full time basis and be a UK Resident. You’ll be educated in a quantitative discipline such as Economics, Finance, Statistics, Mathematics, or Financial Engineering and have solid UK based experience in a Bank or FI.There will be a 2x stage interview process, initially Teams then face to face. We’re ideally looking for Candidates to start ASAP. Keywords: Python Developer, Python expert, Python dev, developer, PySpark, Credit Risk Analyst, Modelling Analyst, Senior Credit Risk Analyst, Risk modeller, modelling analyst, Senior Analyst, IFRS9, IRB, Modelling, IFRS 9, Python, PhD, Quantitative, Quant, Analyst, Credit Risk Manager, Credit Risk Consultant
Junior Python Expert - Credit Risk employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Python Expert - Credit Risk
✨Tip Number 1
Make sure to brush up on your Python skills, especially focusing on advanced features and libraries relevant to credit risk modelling. Being able to demonstrate your proficiency in Python during the interview will set you apart from other candidates.
✨Tip Number 2
Familiarise yourself with wholesale IRB Loss Given Default (LGD) models, as this is a key requirement for the role. Understanding the intricacies of these models will not only help you in the interview but also show your genuine interest in the position.
✨Tip Number 3
Network with professionals in the credit risk field, particularly those who work with Tier 1 banks or similar institutions. Engaging with industry experts can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 4
Prepare for both stages of the interview process by practising common technical questions related to Python and credit risk. Additionally, be ready to discuss your previous experiences in a bank or financial institution, as this will be crucial in demonstrating your suitability for the role.
We think you need these skills to ace Junior Python Expert - Credit Risk
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasise your advanced Python skills and any experience you have with Credit Risk, particularly in wholesale IRB Loss Given Default (LGD) models. Use specific examples from your past work to demonstrate your expertise.
Tailor Your CV: Customise your CV to align with the job description. Focus on your quantitative education and relevant experience in financial institutions. Highlight any projects or roles that involved risk analytics or modelling services.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also your enthusiasm for joining a fast-growing consultancy. Mention why you are interested in this specific role and how you can contribute to the company's success.
Prepare for Interviews: Since there will be a two-stage interview process, prepare for both the Teams and face-to-face interviews. Be ready to discuss your technical skills in detail and provide insights into your experience with credit risk models. Practise common interview questions related to Python and risk analytics.
How to prepare for a job interview at LinkedIn
✨Showcase Your Python Skills
Make sure to prepare examples of your advanced Python projects, especially those related to credit risk. Be ready to discuss specific challenges you faced and how you overcame them using Python.
✨Understand Credit Risk Models
Familiarise yourself with wholesale IRB Loss Given Default (LGD) models and other relevant credit risk concepts. Being able to explain these models clearly will demonstrate your expertise and understanding of the field.
✨Research the Consultancy
Learn about the consultancy's clients and their approach to risk analytics. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Both Interview Stages
Since there are two stages in the interview process, practice for both the Teams interview and the face-to-face meeting. Anticipate questions that may differ between formats and be ready to engage in a more in-depth discussion during the in-person interview.
