Risk Modelling Analyst

The Role:

The opportunity sits within my client’s wholesale stress testing models team. This team is responsible for the development of credit stress testing models which are used in IFRS 9, regulatory stress testing, budgeting and more. The team have also started looking into the development of methodologies for climate scenario analyses.

Work Experience:

• Experience of working in a modelling function or some related quantitative function.
• Ideally, you will have around 5 years of practical experience in statistical modelling development in wholesale credit risk (for example Stress Testing, IFRS9, regulatory capital models or operational scorecards)

Essential Skills:

• Degree level qualification in a numerate discipline
• Python modelling experience would be highly desirable.
• Excellent ability to translate complex and statistical techniques into simple, easily understood concepts

Should this role be of interest please feel free to apply

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Country Risk Policies Analyst Fixed Term Contract 12 months

The Role
Responsibilities would be to write country risk policies and procedures.

Key Responsibilities
Update existing governance guidelines for Country Risk Research within the Bank whilst also establishing dialogue, when necessary, with internal stakeholders within the bank.
You will be contributing to overall country risk framework presentations, discussions and forums within the bank when required
You will be working with the Credit Strategy Team in Risk Management for EMEA. The team is responsible for developing, maintaining, communicating and enforcing regional credit policy.

Work Experience
Below is the essential experience for this role
Have you written policies and procedures in another bank?
Do you have experience writing policies and procedures in another bank?
Experienced in deadlines and keeping to working guidelines?

Education / Qualifications:
Essential
BA (Honours) in Finance, Economic
Preferred: MA in a similar degree.

PERSONAL REQUIREMENTS

• • Excellent communication skills
  • Previous policy writing experience
  • Ideally experience in risk management

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Senior Model Validation Quant

The Role:

This opportunity is for a Model Validation Manager where you will be tasked with validating a wide range of models that are used in IRB, IFRS9 along with other predictive models used in business strategies. This opportunity sits within the retail credit risk team based in London.

Work Experience:

Previous experience in model development, monitoring, model validation (PD, LGD, EAD) also a good understanding of model risk and assessment techniques, predictive modelling

Performing technical analyses, data analyses, benchmarking and building challenger models (if needed) to support the validation review and challenge process

Supporting the Team Lead in key interface with owners of models

Essential Skills:

Experience of coding in Python/SAS/ R/SQL or equivalent language, including handling large datasets and writing functions

Highly numerate, with ideally Master’s degree or PHD in a quantitative subject, for example Mathematics, Physics or equivalent

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Natwest Group Risk Modelling Team Manager

• If you have good team leadership experience, this is a chance to take on a role with significant responsibility
• In this key role, you will lead a team of highly specialised analysts in the development and maintenance of quantitative models used in the bank’s risk frameworks
• You will be supporting a clearly defined and effective framework within which models are developed and maintained in a controlled manner, mitigating excessive model risk

What you will do:
As a Risk Modelling Team Manager, you will be leading, managing and developing a team of highly technically model developers. Alongside this, you will be providing business and other stakeholders with advice and support on model use, model impact and model implementation.
You will also be:

• Supporting regulatory engagement and internal governance in relation to risk models and model frameworks
• Supporting the business through developing and maintaining risk and decision-support models
• Delivering analytics and performance MI relating to the models and the development of new and enhanced approaches in support of improved business and customer outcomes
• Managing model proposals developed by the team as they pass through phases of review and implementation by other functions making sure this is controlled and efficient
• Developing the team, including coaching on model, methodology, best practices definition, delivery of senior management ready material and subject matter expert engagement

The skills you will need:

• At least 7 years of working experience in a modelling function or some related quantitative function. Ideally, you will have significant practical experience in statistical modelling development in wholesale credit risk (for example Stress Testing, IFRS9, regulatory capital models or operational scorecards)
• Degree level in a numerate discipline
• Experience of managing a highly technically skilled team
• Broad experience of risk systems, methodologies and processes in a retail or wholesale bank environment
• Strong project management skills and the ability to work as part of a team, sharing ideas and learning from others
• Excellent ability to translate complex and statistical techniques into simple, easily understood concepts
• A keen eye for detail with strong analytical and problem-solving abilities
• Collaborative mindset, to plan and organise workloads to meet agreed targets
• AWS and Python modelling experience would be desirable

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.