Senior Quantitative Risk Analyst - Decision Analytics and Insights , Dublin

Role: Senior Quantitative Analyst, Decision Analytics & Insights

Location: Molesworth Street, Dublin

 This role is being offered on a permanent basis.

• Do you have 3 years’ experience in a model development, model monitoring or model validation role and a bachelor’s degree in a quantitative analytical discipline (2.1 or higher)?
• Do you have advanced level of programming skill in SAS or SQL or an alternative programming language (e.g. R, Python, Matlab).
• Do you have a strong ability to build relationships and communicate with key stakeholders?

Summary of role:

The Risk Function is an independent, second line of defence function that monitors, controls and supports risk-taking activities across AIB.  The purpose of the Risk Function is to provide advice and guidance in relation to risk while providing independent oversight and reporting on AIB’s risk profile.

The Risk Function’s main objective is to ensure AIB has a robust risk management framework and culture in place to ensure risks are taken within the risk appetite set by the Board, in support of AIB’s customer franchise and social responsibility.  

The role is positioned within the Risk Analytics team where we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making.

This role is in the Decision Analytics & Insights Team in Risk Analytics. They are responsible for development of predictive models and credit strategies to determine customer risk profiles, which are then used to automate credit decisions for the Bank’s customers. The team also provide management information to inform customer engagement strategies and track the performance of credit models to ensure they continue to operate as expected.

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

•  The Development of application and behavioural models to support business decision making and estimation of expected credit loss in line with internal development standards and policies. This includes but is not limited to: Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD) models;
• 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;
• Contributing to the standards, methodologies and toolsets required to perform analytic activities;
• Extracting, transforming, and cleaning the data required for modelling and analysis purposes;
• Engaging with customer facing Business teams to understand how our analytic outputs can support their decision making.

We’re looking for someone who:

• Analysis & Investigation: Undertake and guide junior 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, credit grading, capital requirements and loss expectations;
• Data insights: Perform and guide junior 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: Mentoring and guidance for junior data scientists. Also there will be responsibility for reviewing work carried out by junior team members.

Who are we?

• We’re AIB. A strong Irish bank packed with purpose - to back our customers to achieve their dreams and ambitions. That goes for our employees too – everything starts with you. We’re made of small teams where you have the chance to shine, so whoever you are, whatever you dream of, we back you.

Why join us?

• We are excited about how we have changed our focus. We want to be at the heart of our customers’ financial lives by giving them an exceptional experience. We are building a culture that breaks the conventions of what our customer and employees expect of a bank.

• In AIB, we are operate in a Hybrid Model with teams based in the office 2 days per week.  Onsite days are focused on purposeful attendance, prioritising time to collaborate, connecting with our teams and wider colleagues.

Does this sound like something that you want to be part of?

You will need to show us that you can/have:

1. 3 years’ experience in a model development, model monitoring or model validation role. Examples include: IRB; IFRS 9; loss forecasting; stress testing or economic capital modelling; propensity modelling; or a combination thereof.
2. 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.);
3. Ideally have advanced level of SAS or SQL programming – an equivalent level in an alternate programming language would be considered (e.g. R, Python, Matlab). Advanced experience in extracting, transforming, and cleaning data for modelling purposes;
4. Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau;
5. Experience writing technical documents that meet internal and regulatory standards. Experience in engagement with regulatory or audit bodies;
6. Experience training and managing the day to day tasks of junior team members;
7. Strong ability to build relationships and communicate with key stakeholders;
8. Curiosity and inventiveness. Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.

If you feel you have what it takes, Click Apply and fill in the online application form. If you would like more information the Talent Acquisition Team can help. You can contact them via email careers@aib.ie.

By when? Closing date is Closing date for applications: 9th October 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.