Lead Analyst, Credit Risk Modelling

at  HSBC

Job description
Some careers open more doors than others.
If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Our Risk and Compliance function has a critical role to play in supporting, challenging and advising across all areas of the business through establishing policy, monitoring profiles, and identifying and managing forward-looking risk and compliance. We focus on creating an environment that encourages our people to speak up and do the right thing, as well as protecting our customers, the organisation and the integrity of the financial markets in which we operate. Already an industry-leader in many respects, we want to continue setting standards and evolving to respond to strategic changes.
As an HSBC employee in the UK, you will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution.
We are currently seeking an experienced individual to join this team in the role of Lead Analyst, Credit Risk Modelling.
The Lead Analyst will be responsible for developing credit risk decision models for UK Retail portfolios such as mortgages, credit cards and personal loans. The successful candidate will play an integral role in ensuring models are successfully developed in order to make the best possible decisions on lending, using advanced analytics techniques including machine learning.

In this role, you will:

• Build credit risk decision models used to take decisions on lending using tools such as SAS, R and Python.
• Manipulate large amounts of data using advanced analytical techniques including machine learning to build models.
• Explain analytical findings to senior stakeholders in a clear and concise manner.
• Identify solutions to emerging risk issues, changing priorities and areas of conflict.
• Have the ability to draw, formulate and communicate conclusions from own work and take a proactive approach in recommending further actions where required.

Requirements

To be successful in this role you should meet the following requirements:

• Have experience in credit risk analytics, ideally with experience of developing models.
• Ability to build models in line with internal guidelines and policies.
• Knowledge and experience of using SAS to manipulate large quantities of data is essential. Knowledge of R and/or Python are desirable.
• Proven experience of manipulating and analysing large quantities of data and communicating findings to senior stakeholders and wider teams.

The base location for this role is Sheffield / Leeds / Birmingham / Chester / Hybrid.
You’ll achieve more when you join HSBC.
Being open to different points of view is important for our business and the communities we serve. At HSBC, we’re dedicated to creating diverse and inclusive workplaces. Our recruitment processes are accessible to everyone - no matter their gender, ethnicity, disability, religion, sexual orientation, or age.
We take pride in being a Disability Confident Leader and will offer an interview to people with disabilities, long term conditions or neurodivergent candidates who meet the minimum criteria for the role.
If you’d like to apply for one of our roles and need adjustments made, please get in touch with our Recruitment Helpdesk:
Email: hsbc.recruitment@hsbc.com
Telephone: +44 207 832 8500

In this role, you will:

• Build credit risk decision models used to take decisions on lending using tools such as SAS, R and Python.
• Manipulate large amounts of data using advanced analytical techniques including machine learning to build models.
• Explain analytical findings to senior stakeholders in a clear and concise manner.
• Identify solutions to emerging risk issues, changing priorities and areas of conflict.
• Have the ability to draw, formulate and communicate conclusions from own work and take a proactive approach in recommending further actions where required

To be successful in this role you should meet the following requirements:

• Have experience in credit risk analytics, ideally with experience of developing models.
• Ability to build models in line with internal guidelines and policies.
• Knowledge and experience of using SAS to manipulate large quantities of data is essential. Knowledge of R and/or Python are desirable.
• Proven experience of manipulating and analysing large quantities of data and communicating findings to senior stakeholders and wider teams