Deloitte
Quant Modellers VP/SVP Financial Services
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Role: Quant Modeller (VP/SVP)
Location: London/Hybrid
Start date: Oct 2024 (Inside IR35/Umbrella company)
Contract Duration: 6 months initially
This is an exciting opportunity to join Deloitte Operations for an engagement with one of our Tier 1 Banking clients.
The Role
Role And Responsibilities:
- Lead and support colleagues responsible for checking model data quality, model development (methodology and design), checking model performance, and reporting issues to management and the steering committees.
- Develop and document high quality credit risk models including probability of default, exposure at default and loss given default (PD, EAD and LGD), including challenger models based on different modelling techniques (for instance, but not limited to, machine learning models).
- Implement the models into the banks model execution framework using Python.
- Work with Finance, Treasury and Tech teams to source the relevant data and check consistency.
- Develop tests, estimation and calibration procedures for forecasting models
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Experience & Skills Required
- Significant experience of wholesale modelling (probability of default, exposure at default and loss given default models (PD, EAD and LGD) with an understanding of how models are implemented and used.
- Demonstrated ability to lead and support Model Development projects and an understanding of the end-to-end model development as part of the model lifecycle process.
- Understanding and familiarity with Regulation Requirements, primarily UK (PRA) and EU (EBA/ECB) based regulation.
- Proficiency in manipulation of large data sets and excellent understanding of credit risk related data.
- Demonstrated ability to explain technical tasks and methodology to a wider, sometimes non-technical audience.
- Comfortable working with stakeholders of various levels and the ability to adapt your communication style accordingly.
- M.Sc. or Ph.D. in computer science, statistics, math, finance, econometrics or similar field.
- Hands on programming experience in Python building financial or statistical models. Python experience should include model implementations handling large datasets.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
PLEASE NOTE: Candidates who do not have direct experience of Corporate Wholesale/Credit Risk & Model Development will not be considered
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills