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Join us in Edinburgh, Manchester or Birmingham as a Model Risk Officer
This is a key role where we'll look to you to lead the development and maintenance of quantitative models used in the bank's risk frameworks
You'll have the chance to supervise the day-to-day operation of analysts in your team, giving depth and variety to your development
This role is open for applications from Wednesday 13th May and closes on Friday 12th June 2020
We're offering a competitive salary
What you'll do
As a Model Risk Officer, you'll be integral in the design, development and maintenance of effective and compliant statistical risk and decision support models and related analytics. You'll be leading a team of highly technically skilled managers and model developers, making sure that you support their ongoing coaching and development.
You'll also be:
Providing the business and other stakeholders with advice and support on model use, model impact and model implementation
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
Making sure that our methodologies, model work and products are fit for purpose
Providing actionable MI on all aspects of model performance
Assisting your team manager with setting objectives for analytical resource and assessing performance
The skills you'll need
We're looking for someone with experience of working in a modelling function or a related quantitative function, part of which is from a retail or wholesale banking environment. You'll also be qualified to degree level in a numerate discipline with a background in data driven analysis and statistical or mathematical modelling.
Along with this, you have programming experience, including Python, R or Julia, with an understanding of data and how data and models work collaboratively for clients. Additionally, we'll look for you to have SQL and database knowledge, and graph databases would be an advantage.
To be successful in this role, you'll also need:
Experience of the development and practical application of risk models, including scoring and model monitoring
Knowledge of scorecard for retail credit, IRB and IFRS9 models, stress testing and an understanding of machine learning techniques for retail credit
Extensive banking and financial services experience
A broad background of risk systems, methodologies and processes in a retail or wholesale bank environment
Excellent collaboration skills with the ability to work well as part of a team, sharing ideas and learning from others
The ability to translate complex and statistical techniques into simple, easily understood concepts