Quantitative Risk Analyst, Risk Analytics in Newtownabbey

Quantitative Risk Analyst, Risk Analytics in Newtownabbey

Newtownabbey Full-Time 47250 - 57750 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Conduct quantitative analyses and develop predictive models to manage credit risk effectively.
  • Company: AIB, a leading bank committed to collaboration and customer-first values.
  • Benefits: Hybrid work model, market-leading pension, healthcare scheme, and volunteer days.
  • Other info: AIB values diversity and offers excellent career growth opportunities.
  • Why this job: Join a dynamic team and make a real impact in credit risk management.
  • Qualifications: Master's degree in a quantitative field and 2.5+ years of relevant experience.

The predicted salary is between 47250 - 57750 £ per year.

At AIB, our values guide how we work and how we support each other. We're looking for someone who puts Customer First, takes initiative and Owns the Outcome, and is always looking for ways to Eliminate Complexity. You'll treat colleagues and customers with fairness and Show Respect, and you'll thrive in a culture built on collaboration where we Be One Team to deliver meaningful impact.

Location/Office Policy: Dublin (Central Park or Molesworth Street) / London / Belfast / Northampton - Hybrid (3 days in office, 2 days at home)

Are you passionate about model development and interested in specialising in credit risk? Are you seeking a dynamic role that involves working collaboratively with various stakeholders and delivering tangible value across multiple initiatives? Do you have a master's degree in a quantitative analytical discipline and 2.5+ years direct professional experience?

What is the Role: This role is positioned within the IFRS9 Modelling Team in Risk Analytics as a Quantitative Risk Analyst. In Risk Analytics, we develop and support the deployment of risk models, strategies and decision tools for regulatory capital, internal capital and business decision making. We develop, maintain and support models such as IRB Models, IFRS9 Models, Credit Decisioning Models and Pillar 2 credit models. The role involves developing expertise in Expected Credit Loss, which is a key driver of P&L and an important input for loan pricing. The successful candidate will support the measurement of ECL, regulatory templates, inspection/audit related requests and the IRB programme via downstream IFRS9 impact assessments.

Key Accountabilities

  • Analysis and Investigation: Conduct detailed quantitative analyses, data investigations, and model-based assessments to support better management of credit risk, portfolio performance, and business decision-making across the bank.
  • Operational Excellence: Use and develop the team's library of procedures, the outputs of which are used to support financial reporting and regulatory templates.
  • Predictive Model Development: Develop, enhance and use predictive models. This includes model coding, data preparation, and execution.
  • Data Insights & Business Recommendations: Perform exploratory and ad-hoc data analysis to uncover trends, identify emerging risks, and generate insights that translate into clear, actionable recommendations for business partners (Retail, Capital Markets, Finance and Credit) to deliver on AIB's strategic priorities.
  • Risk Segmentation & Portfolio Understanding: Develop risk segmentations and analytical profiles of customer and portfolio behaviour to help the business understand underlying risk drivers and to support more effective risk management strategies.

What You Will Bring:

  • 2.5+ years' direct experience in a quantitative risk or similar discipline with SAS or SQL programming is preferred.
  • Strong experience in an alternative programming language would be considered (e.g. Python, R).
  • Ability to generate insights from data, to make data-driven decisions and defend these decisions from challenge.
  • A master's degree in a quantitative analytical discipline e.g. mathematics, applied mathematics, physics, statistics, engineering, econometrics.

Why Work For AIB: We are committed to offering our colleagues choice and flexibility in how we work and live and 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. Some of our benefits include; Market leading Pension Scheme, Healthcare Scheme, Variable Pay, Employee Assistance Programme, Family leave options, Two volunteer days per year.

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 are committed to providing reasonable accommodations for applicants and employees.

Application deadline: 26th August 2026. To be considered for this role you will be redirected to and must complete the application process on our careers page.

Quantitative Risk Analyst, Risk Analytics in Newtownabbey employer: AIB NI

AIB is an exceptional employer that prioritises flexibility and work-life balance through its hybrid working model, allowing employees to thrive both at home and in the office. With a strong commitment to employee growth, AIB offers market-leading benefits including a comprehensive pension scheme, healthcare options, and opportunities for community engagement through volunteer days. Join a dynamic team in Dublin where your contributions will shape the narrative of Ireland's largest bank, all while being part of a culture that values trust, collaboration, and clear communication.

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Contact Details:

AIB NI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Quantitative Risk Analyst, Risk Analytics in Newtownabbey

Tap into Campus Networks

If you're still in uni, don’t forget to engage with your campus's career services and attend finance-related events. Banks often do presentations and recruitment drives on campus, so put yourself out there and make use of these opportunities to show off your passion for the field.

Get Certified

Consider pursuing relevant certifications like the CFA or ACCA while you’re job hunting. They not only beef up your CV but also connect you with professional bodies which can lead to networking opportunities and even job openings in banking and financial services.

Connect on Professional Platforms

Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.

Apply Directly and Be Proactive

Don’t shy away from reaching out directly to firms like AIB NI. Use their websites and apply through them, but also consider following up with a polite email to express your enthusiasm. Being proactive can make a huge difference in getting noticed in the competitive financial services sector.

We think you need these skills to ace Quantitative Risk Analyst, Risk Analytics in Newtownabbey

Quantitative Analysis
Model Development
Credit Risk Assessment
SAS Programming
SQL Programming
Python
R

Some tips for your application 🫡

Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.

Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to AIB NI.

Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.

Research and Reflect:Before hitting that 'apply' button on AIB NI's website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!

How to prepare for a job interview at AIB NI

Brush Up on Financial Analysis Skills

Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with AIB NI.

Prepare for Case Studies

Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.

Show Your Passion for Finance

Since this is a full-time position, employers at AIB NI will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.

Network with Industry Professionals

Before your interview, reach out to current or former AIB NI employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.