Risk Quantitative Analyst

London  ‐ Onsite
This project has been archived and is not accepting more applications.
Browse open projects on our job board.

Keywords

Risk Analysis Risk Management Automation Python (Programming Language) Prototyping Trading Stress Testing Target Market Selection IT Recruitment

Description

We are Global IT Recruitment specialist that provides support to the clients across UK, and Europe. We have an excellent job opportunity for you.

Risk Quantitative Analyst

London

£577 inside of IR35

Description:

Assess and validate the performance of risk models using real world data. The model could be an existing or a new model.
Understand the features, assumptions and limitations of the model, propose a validation approach, identify target market data for the purposes of validation and undertake the validation within agreed timelines.
The risk models may include Value-at-Risk (VaR), Stressed VaR, Risk Not In VaR (RNIV), Incremental Risk Charge (IRC), Hair-cuts, EEP, Stress Testing, Fundamental Review of Trading Book (FRTB), Capital Models
Build python-based prototypes and risk library.
Participate in adhoc projects as they arise from time to time and provide any information relating to in a prompt and coherent fashion.
Suggest improvements to the existing frameworks with a view to automate systems and help implement agreed changes.
Identify areas for efficiency improvements, automation, and enhanced controls in existing processes. Document proposed changes and agree with the on-shore process team prior to implementation.
Document all process changes and improvements to reflect the latest process.
Being able to clearly explain model details to other areas of the bank in non-technical language, and assisting in the on-going usage of these models in a day-to-day risk management setting,eg helping to explain significant model value changes

Start date
ASAP
Duration
Until end of Dec 2024
From
J & C Associates Ltd
Published at
27.03.2024
Project ID:
2733724
Contract type
Freelance
To apply to this project you must log in.
Register