job description Senior Analyst – Model Risk What's in it for you?
This is an exciting role for an analyst as it will give you the chance to work with multiple projects ad-hoc. Model and Analytics play a significant role in objective decision making on a rang of business decisions within my client. They recognise the importance role mole plays in organisational decision making and applies to leading edge model risk management to manage the portfolio of models and analytics. This is a newly created role as well as good pay and a great culture, joining our client means you’ll get lots of perks
Our client is a reputable financial services business.
This is an exciting new role that will provide you with the opportunity to apply your technical knowledge and experience within financial risk models to analyse and enhance our clients credit, traded/ or non traded market risk models. You will be reporting to the Manager, Model Review.
Identification of business improvements in relation to models
Validation of medium materials models used in the Bank. This include stakeholder model owner engagement, writing of a validation report, assigning a validation rating of models and negotiating remedial actions following a validation
Review and devlop risk settings relative to risk appetite, regulatory requirements and emerging risks to the Home Lending Portfolio
Opportunity to provide model risk advisory role to the business and add value through your independent review and challenge of existing models
Experience and Qualifications needed
With a background in credit risk management, you have experience with industry best practice tools and techniques/statistical portfolio management. Known for having an enquiring mind, you aren’t shy about asking questions when there is ambiguity and pride yourself on your continuous improvement mindset.
In addition, you will have:
Degree qualified within maths/statistics
Strong numeracy / analytical skill, with tertiary qualifications within mathematics / statistics / finance / risk related disciplines
Advanced excel skills, whilst experience/knowledge of python, R, SAS or similar coding packages is advantageous
Ability to apply mathematical models for the assessment of risks, Knowledge of specific modelling fields advantageous
Ability to apply knowledge of business and regulatory drivers when developing models and analysing findings
Demonstrated team and relationship building skills
A strong commercial acumen and with good communication skills
What’s On Offer
With a generous remuneration package you will have education and volunteer leave to learning benefits and banking discounts
To apply online please click the 'Apply' button below or send to Darren Ruane at **********
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