Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton
Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton

Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton

Belfast Full-Time 36000 - 60000 £ / year (est.) No home office possible
Allied Irish Banks

At a Glance

  • Tasks: Lead complex data analyses and develop predictive models to enhance risk management.
  • Company: Join AIB, a leading bank focused on robust risk management and customer responsibility.
  • Benefits: Enjoy flexible hybrid working, competitive pay, and family leave options.
  • Why this job: Make a real impact in risk analytics while mentoring junior data scientists.
  • Qualifications: 3+ years in model development; degree in a quantitative field required.
  • Other info: Dynamic team environment with opportunities for professional growth.

The predicted salary is between 36000 - 60000 £ per year.

This role is positioned within the Risk Analytics Team as a Senior 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. Risk Analytics is part of the Risk Function, 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.

Key accountabilities:

  • 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.
  • Predictive model development: Take a leading role in building predictive models that are focussed on core business elements, such as automated decisioning, 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.
  • Digital protection: Access/utilise bank data within the policies and frameworks required by AIB.

What you Will Bring:

  • Minimum 3 years’ experience in a model monitoring, 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.
  • 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.
  • Familiarity with data visualisation tools such as QlikView, Power BI, SAS VA or Tableau.
  • Experience writing technical documents that meet internal and regulatory standards.
  • Experience in engagement with regulatory or audit bodies; Strong ability to build relationships and communicate with key stakeholders.
  • Curiosity and inventiveness.
  • Good problem solving skills with capability to defend their decisions from challenge both on a technical and business front.

What We Offer:

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:

  • Variable Pay
  • Employee Assistance Programme
  • Family leave options

As part of the selection process, the successful applicant will be expected to demonstrate the AIB Behaviours and ability in the Behavioural and Technical Capabilities reflected below. Please note that the capabilities will only be asked at interview stage.

  • Ensures Accountability
  • Develops & Empowers Data Analysis

If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the Recruiter for this role, Nicole Pasquetti, at careers@aib.ie for a conversation.

Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton employer: Allied Irish Banks

AIB is an exceptional employer that prioritises employee well-being and professional growth, offering a hybrid working model that allows for flexibility between home and office. With a strong focus on mentorship within the Risk Analytics Team, employees are encouraged to develop their skills while contributing to meaningful risk management strategies that support the bank's commitment to social responsibility. The collaborative work culture fosters innovation and accountability, making AIB a rewarding place for those seeking to make a significant impact in the financial sector.
Allied Irish Banks

Contact Detail:

Allied Irish Banks Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton

✨Tip Number 1

Network like a pro! Reach out to current or former employees in the Risk Analytics Team on LinkedIn. A friendly chat can give us insider info about the role and might even lead to a referral.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with predictive models and data analysis. We want to see how you can apply your knowledge to real-world scenarios.

✨Tip Number 3

Show off your curiosity! During interviews, ask insightful questions about the team’s projects and challenges. This not only demonstrates your interest but also helps us gauge your fit within the team.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining the team.

We think you need these skills to ace Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton

Predictive Model Development
Data Analysis
SAS Programming
SQL Programming
R Programming
Python Programming
Matlab
Data Transformation
Data Cleaning
Data Visualisation
QlikView
Power BI
SAS VA
Tableau
Technical Documentation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Quantitative Risk Analyst role. Highlight your experience in model development and data analysis, and don’t forget to mention any relevant programming skills like SAS or SQL. We want to see how your background fits with what we do!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about risk analytics and how your skills can contribute to our team. Be sure to mention specific projects or experiences that relate to the key accountabilities listed in the job description.

Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in the past. We love candidates who can defend their decisions and show curiosity in their work. This will help us see your analytical mindset and how you approach challenges.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll get to explore more about what we do at StudySmarter!

How to prepare for a job interview at Allied Irish Banks

✨Know Your Models Inside Out

As a Senior Quantitative Risk Analyst, you'll be expected to have a solid grasp of predictive model development. Brush up on your experience with IRB, IFRS 9, and other relevant models. Be ready to discuss specific examples of how you've built or validated these models in the past.

✨Showcase Your Data Skills

Make sure you can talk confidently about your experience with data extraction, transformation, and cleaning. Highlight your proficiency in SAS, SQL, or any other programming languages you've used. Prepare to discuss how you've used data visualisation tools like Power BI or Tableau to present your findings.

✨Prepare for Technical Questions

Expect technical questions that assess your problem-solving skills and ability to defend your decisions. Review key concepts in risk management and be prepared to explain how you would approach various scenarios. Practising with a friend or mentor can help you articulate your thought process clearly.

✨Demonstrate Leadership and Mentoring Experience

Since this role involves guiding junior data scientists, be ready to share your experiences in mentoring or leading teams. Discuss how you've supported others in their development and how you ensure accountability within your team. This will show your potential employer that you're not just a technical expert but also a great leader.

Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton
Allied Irish Banks
Location: Belfast

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