Quantitative Risk Manager, Decision Analytics And Insights

Quantitative Risk Manager - Decision Analytics and Insights, Dublin

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Date: 23 Jul 2024

Location: Dublin, IE, IE

Company: Allied Irish Bank

Role: Quantitative Risk Manager, Decision Analytics and Insights

Location: Molesworth Street, Dublin 2 (Hybrid)

This role is being offered on a permanent basis.

• Are you interested in developing credit grading models, credit strategies and application / behavioural models?
• Do you have at least 5 years’ experience in a model development or model validation role and have an advanced level have level of SAS or SQL programming?
• Do you have a strong to build relationships and communicate with key stakeholders?

About the Role:

The Risk Analytics Department is a central function within AIB with the remit to develop strong credit and financial risk measurement and decision-support throughout every aspect of our businesses and control functions. The outputs from Risk Analytics deliver optimal pricing for our customers, quick and convenient credit decisions, a safe lending and borrowing environment, and efficient use of our shareholders’ capital with sustainable returns. In addition, the teams regularly carry out ad-hoc analysis and assessments to support the business and any regulatory considerations of the ongoing appropriateness of the models and their outputs.

This role is in the Decision Analytics and Insights Model Development Team in Risk Analytics. They are responsible for the quantitative modelling used for decision automation, credit grading of standardised portfolios, and also the ongoing monitoring of IRB, credit grading, and auto decisioning models.

Summary of role:

We’re looking for someone who would be interested in:

• Leading the development of Grading models to support business decision making, risk management and estimation of regulatory capital requirements in line with internal development standards and policies. This includes but is not limited to: Application and Behavioural Scorecards, Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models;
• Managing the team involved in the development of Grading models, guiding them in the development of technical skills as well as core behavioural competencies;
• Engaging with stakeholders across the Business, Finance and Risk to ensure that models can facilitate business needs while meeting regulatory requirements and provide enhancements to the application of risk management within the Bank.
• Engaging with regulatory bodies and internal second and third line of defence assurance teams as part of the on-going cycle of review of our models;
• Contributing to the development and refinement of standards, methodologies and toolsets required to deliver these models and ensuring they are embedded within the development team.
• Develop credit decisioning strategies to support the automation of Retail and non-Retail credit decisions throughout the credit lifecycle;
• Performing exploratory and ad-hoc data analysis to generating meaningful customer or portfolio insights;
• Extracting, transforming, and cleaning the data required for modelling and analysis purposes;

Key Responsibilities Include:

• Analysis & investigation: Undertake and guide data scientists in various complex data analyses, investigations and/or modelling of business issues to improve the management, services and products of the bank;
• Digital protection: Access / utilise bank data within the policies and frameworks required by AIB;
• Predictive model development: Take a leading role in building predictive models that are focussed on impact core business elements, such as automated decisioning, capital requirements and loss expectations;
• Data insights: Perform and guide data scientists in exploratory and ad-hoc data analysis with a view to generating insights and using this to deliver actionable recommendations to the Business;
• Expert advice: Provide specialist advice to the business with an emphasis on the impact and application of risk management requirements;
• Risk segmentation analysis: Creating segmentations that allow us to better understand the risks present in our lending portfolio and what we can do to better manage the risks;
• Leadership: Manage a team data scientists, involved in the development of credit grading models, coaching them in the development of technical skills as well as demonstration of core behavioural competencies;
• Stakeholder engagement: Work with stakeholders across the Business, Finance and Risk and act as a conduit for delivering solutions to business problems.

What you will bring:

• Minimum 5 years’ experience in a model development or model validation role. Examples include: IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof. A bachelor’s degree in a quantitative analytical discipline (2.1 or higher), e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics. (Confirmation will be sought if successful for the role.);
• Ideally have Advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be consider (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes;
• Strong understanding of the regulatory requirements relating to the development of grading models;
• Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies;
• Experience training and managing the day to day tasks of junior team members;
• Strong ability to build relationships and communicate with key stakeholders in model development or validation activities.
• Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.

Life at AIB

At AIB, we have a clear purpose - Empowering people to build a sustainable future. We want to be at the heart of our customers’ financial lives by giving them an exceptional experience. That goes for our employees too.

We are building a culture that breaks the conventions of what our customer and employees expect of a bank.

We are committed to offering our colleagues choice and flexibility in how we work and live. Our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements. More details on our hybrid working arrangements and expected office attendance for your role will be provided to you during the recruitment process.

AIB is an equal opportunities employer, and we pride ourselves on being the first bank in Ireland to receive the Investors in Diversity Gold Standard accreditation from the Irish Centre for Diversity. We celebrate diversity and believe in a culture of inclusion where all our employees can succeed. We welcome applications from people of diverse backgrounds and abilities. We are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request please email the Talent Acquisition team at careers@aib.ie.

If you feel you have what it takes, click apply and fill in the online application form. If you would like more information please contact the Talent Acquisition Team at careers@aib.ie

By when? Closing date is Sunday 11th August 2024

Disclaimer:

Unsolicited CV’s sent to AIB by Recruitment Agencies will not be accepted for this position. AIB operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our recruitment partners.

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