At a Glance
- Tasks: Join our Credit Risk Modelling team to analyse data and develop models for risk management.
- Company: Handelsbanken is a decentralised relationship bank focused on customer needs and long-term relationships.
- Benefits: Enjoy competitive salary, private medical insurance, and a 15% pension contribution.
- Why this job: Be part of a collaborative team that values diversity and empowers your career growth.
- Qualifications: Degree in statistics, mathematics, or data science; experience in financial services and IRB model development.
- Other info: We encourage applicants from all backgrounds and offer support throughout the hiring process.
The predicted salary is between 36000 - 60000 £ per year.
Our UK Risk department is responsible for risk control within Handelsbanken plc ensuring there is a comprehensive and objective view of all risks in the Bank's business operations, providing independent management assurance to the UK CEEO that the business are identifying and managing its risks adequately.
The UK Credit Risk team is responsible for Credit and Portfolio Oversight, Credit Risk modelling, Climate Risk embedment and IRB implementation. The breadth of the deliverables, and the fact that processes, modelling and analytical capabilities are continuously being developed and improved, demands a flexible and collaborative approach from team members to ensure solid team performance in coordination with the business.
The role of IRB Quantitative Risk Analyst works within the Credit Risk Modelling team where the goal is to roll out the Internal Ratings Based (IRB) approach to Handelsbanken's portfolios over the next few years. The Quantitative Risk Analyst will support the Bank in obtaining the IRB permission by doing data analysis, model development and monitoring as per the IRB regulatory requirements.
Main Responsibilities
- Operates in line with the Bank's Risk Management framework (including sub-frameworks) and relevant risk and compliance policies and procedures, ensuring appropriate and timely escalation of any concerns to their line manager.
- Support the model development of a range of IRB Retail models in accordance with Handelsbanken's internal policies and standards for the following IRB models:
- Rating/Scorecards
- Probability of Default (PD), Loss Given Default (LGD) and Exposure at Default (EAD) models
- Stress testing models
Ideal Candidate
- Relevant experience working in financial services, including IRB model development and data analysis.
- Solid understanding of the IRB regulation (CRR, EBA, PRA).
- Have a strong analytical background and numerical skills.
- Be degree educated or equivalent, preferably in statistics, mathematics, data science or engineering.
- Hands on experience from one or more statistical data programmes such as SAS, SQL.
- Be proactive, able to act on their own initiative and ownership of own work; delivering high quality outcomes.
Company Information
Handelsbanken is a relationship bank with a decentralised way of working, a strong local presence thanks to a nationwide network of branches, and a long-term approach to customer relations. Each Handelsbanken branch operates as a local business enabling it to make decisions at a local level and provide a bespoke service. The focus is always on the need of the individual customer and not on the sale of specific products.
The Bank is deeply committed to embedding good equality and diversity practice into all of our activities. This is so that we are an inclusive, welcoming and inspiring place to work that encourages everyone to apply, regardless of socio-economic background, age, disability, pregnancy and/or parental status, race (including colour, nationality, and ethnic or national origin), veteran status, marital and civil partnership status, religion or belief, sex, gender reassignment or sexual orientation.
At Handelsbanken, we deeply value our unique culture and values including trust in and respect for each individual. We take pride in nurturing a work environment where people flourish, and where they are empowered to take decisions in their areas of expertise. We take a long term perspective in everything we do and want each employee who joins us to build a long terms successful career with the Bank.
What is in it for you?
- We have a wide range of learning and development available, empowering and enabling our colleagues to take ownership of their own development.
- Competitive Salary and an extensive range of benefits is provided, including private medical insurance, income protection and life assurance.
- A market-leading pension contribution of 15% paid by the bank, which can be invested in a wide range of funds (including ESG and Shariah funds).
Application next steps
Your journey with us begins once you have submitted your application. One of our Handelsbanken recruiters will be reviewing your details and will later organise a phone conversation if you match the role requirements. If there is a mutual fit, we will extend an invitation for you to participate in an interview.
How can we support you to be your best self?
Our Talent Acquisition team will be happy to provide support e.g. if you need additional time to prepare for an interview or you have any requirements for any part of the interview/hiring process - just let us know by email uk_talent@careers.handelsbanken.co.uk.
This advert will be live for a minimum of two weeks. However, please note that after the two weeks, the closing date could change at any time depending on the number of responses received.
IRB Quantitative Risk Analyst employer: Handelsbanken plc
Contact Detail:
Handelsbanken plc Recruiting Team
uk_talent@careers.handelsbanken.co.uk
StudySmarter Expert Advice 🤫
We think this is how you could land IRB Quantitative Risk Analyst
✨Tip Number 1
Familiarise yourself with the Internal Ratings Based (IRB) approach and its regulatory requirements. Understanding the nuances of IRB models, such as Probability of Default (PD) and Loss Given Default (LGD), will help you engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the financial services sector, particularly those involved in risk management and model development. Attend industry events or webinars to connect with potential colleagues and learn more about the latest trends and challenges in the field.
✨Tip Number 3
Brush up on your analytical skills and become proficient in statistical data programmes like SAS and SQL. Being able to demonstrate your hands-on experience with these tools can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences related to data analysis and model development. Be ready to share specific examples of how you've identified data gaps or contributed to model maintenance, as this will showcase your relevant expertise to the hiring team.
We think you need these skills to ace IRB Quantitative Risk Analyst
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the IRB Quantitative Risk Analyst position. Tailor your application to highlight how your skills and experiences align with the job description.
Highlight Relevant Experience: Emphasise your experience in financial services, particularly in IRB model development and data analysis. Use specific examples to demonstrate your understanding of IRB regulations and your analytical skills.
Showcase Technical Skills: Mention your hands-on experience with statistical data programmes such as SAS and SQL. Provide examples of how you've used these tools in previous roles to support your claims.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarises your CV but also conveys your enthusiasm for the role and the company. Make sure to address how you can contribute to the team and the bank's goals.
How to prepare for a job interview at Handelsbanken plc
✨Understand the IRB Framework
Make sure you have a solid grasp of the Internal Ratings Based (IRB) approach and its regulatory requirements. Familiarise yourself with the CRR, EBA, and PRA regulations, as this knowledge will be crucial during your interview.
✨Showcase Your Analytical Skills
Prepare to discuss your analytical background and numerical skills in detail. Be ready to provide examples of how you've used statistical data programmes like SAS or SQL in previous roles, particularly in model development or data analysis.
✨Demonstrate Proactivity
Highlight instances where you've taken initiative in your work. The role requires a proactive approach, so share examples of how you've identified data gaps or improved processes in past positions.
✨Prepare for Technical Questions
Expect technical questions related to credit risk modelling and data quality assessment. Brush up on your knowledge of Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models to confidently answer these queries.