Line of Service
Banking and Capital MarketsSpecialism
ManagerJob Description & Summary
Our Risk Modelling Services (RMS) team is a diverse group of 350 individuals across London, Edinburgh, Manchester, Bristol and Mumbai, with a wide range of skills and experience within insurance, banking and commercial & government.
We are experiencing rapid growth and are looking to expand our Banking sub-team of 80 specialists, who advise leading banks across the UK and globally on a wide variety of risk, value and capital management issues. You will be a key part of this growth story, with the opportunity to work on a range of exciting projects in a collaborative, inclusive and well-recognised team.
About the role
As a Manager, you will work directly with clients, manage junior staff, report to the leadership team and work alongside senior specialists who will coach and support you, to oversee the delivery of an exciting range of credit risk modelling and validation projects (IFRS 9, IRB or stress testing) such as:
Credit risk model development, including support on future modelling considerations and the impact of regulatory changes.
Specialist review and challenge of IFRS 9 models for our audit clients.
End-to-end model validation - including validation of data, review and challenge of conceptual soundness and underlying assumptions, assessing model limitations, performing quantitative testing, and delivering exhaustive reports.
Interaction with stakeholders including credit risk managers, model development / validation teams, and internal stakeholders across PwC.
Helping to develop our internal propositions to take to market, including in emerging areas such as ESG.
Maintaining an up-to-date view of regulatory and industry developments - enabling knowledge sharing with the wider team and the ability to maintain leading edge best practice.
The role will be based in the UK, at any of our offices in London, Edinburgh, Bristol or Manchester. Hybrid / flexible working is also possible through PwC's Everyday Flexibility.
Experience working within a banking organisation or professional services firm, specialising in at least one area of credit risk modelling (provisioning, capital or stress testing), for Retail or Wholesale portfolios.
Good understanding of credit risk concepts and associated regulatory requirements, including at least one of: IFRS 9, IRB or Stress Testing
Experience with at least one of the following (or similar): SAS, SQL, R, Python
Strong written and verbal communication, with the ability to translate complexity for both technical and non-technical audiences.
Good people skills, including interpersonal sensitivity, influencing and negotiation.
Attention to detail, creativity and problem-solving skills, with a willingness to share ideas.
Proactive and entrepreneurial attitude, with a strong commitment to personal and team success.
Agility and flexibility to work on and juggle different projects.
Desirable skills / attributes:
Education (if blank, degree and/or field of study not specified)
Further qualification could be a plus (such as MSc, PhD or professional qualification in relevant subject/area, e.g., mathematical finance or technical research involving maths or numerical programming).
Demonstrable experience in managing teams, client liaison and relationship management, including working with a range of stakeholders, internally or across clients in a consulting-type role.
Understanding of a bank's wider credit risk management processes, including model governance and capital & financial planning functions.
Hands-on experience with credit risk model development in either SAS, R or Python.
Familiarity with recent regulatory updates, and enthusiasm and motivation to embrace new emerging financial themes.
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Optional SkillsDesired Languages (If blank, desired languages not specified)Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
YesGovernment Clearance Required?
NoJob Posting End Date