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- Tasks: Join a dynamic team as a Junior Python Expert focusing on Credit Risk analysis.
- Company: Be part of a fast-growing consultancy that partners with top financial institutions.
- Benefits: Enjoy amazing perks like client commissions, bonuses, and healthcare.
- Why this job: Gain equity in a boutique firm and shape your career in a thriving industry.
- Qualifications: Advanced Python skills and UK Credit Risk experience are essential.
- Other info: This role requires commuting to London full-time; start ASAP!
The predicted salary is between 36000 - 60000 £ per year.
Job Description
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 Clientare 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: PeopleGenius
Contact Detail:
PeopleGenius 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 libraries and frameworks commonly used in 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 the specific credit risk models mentioned in the job description, such as IRB Loss Given Default (LGD) models. Having a solid understanding of these concepts will allow you to engage in more meaningful discussions during the interview.
✨Tip Number 3
Network with professionals in the credit risk field, particularly those who work in consultancy or financial institutions. This can provide you with insights into the industry and potentially lead to referrals that could enhance your application.
✨Tip Number 4
Prepare for the two-stage interview process by practising common technical and behavioural questions related to Python and credit risk. Being well-prepared will help you feel more confident and articulate your thoughts clearly during both the Teams and face-to-face interviews.
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 in credit risk, particularly with wholesale IRB Loss Given Default (LGD) models. Tailor your CV and cover letter to showcase these specific competencies.
Showcase Your Education: Since the role requires a background in a quantitative discipline, clearly outline your educational qualifications in Economics, Finance, Statistics, Mathematics, or Financial Engineering. Mention any relevant coursework or projects that relate to credit risk.
Demonstrate Industry Experience: Detail your UK-based experience in a bank or financial institution. Include specific examples of your work related to credit risk analytics or modelling, as this will strengthen your application significantly.
Prepare for Interviews: As there is a two-stage interview process, prepare for both the Teams and face-to-face interviews. Research common interview questions for Python developers and credit risk analysts, and be ready to discuss your previous experiences in detail.
How to prepare for a job interview at PeopleGenius
✨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
Brush up on your knowledge of wholesale IRB Loss Given Default (LGD) models. Be prepared to explain these concepts clearly and how they apply to the role, as this will demonstrate your expertise in the field.
✨Research the Consultancy
Familiarise yourself with the consultancy's work and their clients. Understanding their approach to risk analytics and modelling services will help you tailor your answers and show genuine interest in the company.
✨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. Ensure you can communicate your thoughts clearly in a virtual setting and also engage effectively in person.
