Credit Risk Modelling Analyst - CV-Library
  • Dublin, City of Dublin, Ireland
  • via CV-Library
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Job Description

Senior Analyst - Credit Risk Modelling - Hybrid/Dublin once a week - J12859 Salary €30,000 - €50,000 DoE Sponsorship not available A fantastic opportunity for a driven and enthusiastic Senior Analyst to work in an exciting and fast paced environment alongside a team of experienced modelling specialists! The role is working in a well-established retail/commercial bank who focus on customer relationships and putting the customer first. You will have the opportunity to use and develop your analytical skills in many areas including model development, risk reporting, model implementation and related areas. The successful candidate will directly experience a variety of modern risk management topics including IRB, IFRS 9, automated credit decisioning, sophisticated technology platforms and more. Responsibilities • At least 2 years experience of building models for IRB and/or IFRS9 and stress testing of banking regulations. • Support regular model insights • Support out of course analytical analysis and investigations Skills Required • A self-starter with a passion for making a difference with great communication and influencing skills. • Possess strong critical thinking and interpretation skills. • High energy and resilience with a focus on relationship management skills. • Awareness of IRB, IFRS9 and/or Decision-Making models • Advanced experience of SAS and SQL • Shown & tested experience of data risk management To find out more and to apply for this role please contact (url removed) (phone number removed). Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

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