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 comprehensive employee support.
- Other info: Dynamic team environment with opportunities for professional growth and development.
- Why this job: Make a real impact in risk analytics while mentoring the next generation of data scientists.
- Qualifications: 3+ years in model development; degree in a quantitative field; strong programming skills.
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. (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 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 promotes work-life balance. With a strong focus on mentorship and development within the Risk Analytics Team, employees are encouraged to enhance their skills while contributing to meaningful risk management strategies that support the bank's commitment to social responsibility. Located in vibrant cities like Dublin, Belfast, London, and Northampton, AIB provides a dynamic work environment where innovation and collaboration thrive.
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 folks in the industry on LinkedIn or at local meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to risk analytics. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills! Bring along examples of your work, like predictive models or data insights you've developed. This will help you stand out and demonstrate your expertise during interviews.
✨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 you're genuinely interested in joining our team.
We think you need these skills to ace Senior Quantitative Risk Analyst, Risk Analytics, Dublin, Belfast, London, Northampton
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.
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 background makes you a perfect fit for our team. Be sure to mention specific projects or achievements that relate to the job.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data issues or developed predictive models. We love seeing curiosity and inventiveness, so don’t hold back on sharing your thought process!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team 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 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 demonstrate your advanced skills in SAS or SQL, or any equivalent programming language. Prepare examples of how you've extracted, transformed, and cleaned data for modelling purposes. This will show your technical prowess and problem-solving abilities.
✨Prepare for Technical Questions
Expect to face questions that test your understanding of risk management frameworks and regulatory standards. Familiarise yourself with the latest regulations and be prepared to discuss how you've engaged with regulatory bodies in the past.
✨Highlight Your Leadership Experience
Since mentoring junior data scientists is part of the role, be ready to share your experiences in guiding others. Discuss how you've reviewed their work and provided constructive feedback, showcasing your ability to lead and empower your team.