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

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 committed to robust risk management and innovation.
  • Benefits: Enjoy flexible hybrid working, competitive pay, and family leave options.
  • Why this job: Make a real impact in risk analytics while mentoring junior talent.
  • 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 to advance your career in quantitative risk analysis.
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 employees at AIB or in similar roles on LinkedIn. Ask them about their experiences and any tips they might have for landing the job. Personal connections can make a huge difference!

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Since this role involves predictive model development and data analysis, be ready to discuss your experience with SAS, SQL, or any other relevant programming languages. Show us what you've got!

✨Tip Number 3

Don’t forget to showcase your leadership skills! If you’ve mentored junior data scientists before, share those experiences during the interview. We want to see how you can guide others while contributing to the team.

✨Tip Number 4

Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining AIB and being part of our risk analytics 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 Technical Skills: Since this role involves a lot of technical work, make sure to showcase your programming and data manipulation skills. If you’ve worked with data visualisation tools or have experience with predictive modelling, let us know! We love seeing candidates who are technically savvy.

Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to our recruitment team. Plus, you’ll get to see more about our culture and values while you’re at it!

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 stress testing. Be ready to discuss specific models you've worked on and the impact they had on decision-making.

✨Showcase Your Data Skills

Make sure you can talk confidently about your experience with SAS, SQL, or any other programming languages like R or Python. Prepare examples of how you've extracted, transformed, and cleaned data for modelling purposes, as well as any visualisation tools you've used like Power BI or Tableau.

✨Demonstrate Leadership and Mentoring

Since this role involves guiding junior data scientists, think of instances where you've mentored others or led projects. Be prepared to share how you approach leadership and what strategies you use to empower your team.

✨Prepare for Behavioural Questions

The interview will likely include questions that assess your accountability and problem-solving skills. Reflect on past experiences where you've had to defend your decisions or navigate challenges, and be ready to articulate these situations clearly.

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

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