Overview
We work collaboratively with our financial services industry clients to design, build and implement credit risk models. We advise and support a diverse group of clients on how best to deliver value in the face of a changing and complex regulatory agenda. Our work typically covers the development and validation of operational scorecards, IRB, Credit Risk, IFRS 9, forecasting, stress testing and climate risk models.
Responsibilities
Perform credit risk model development and validation activities, including model development/validation initiation and requirements capture, methodology design, model coding, engaging with business experts, model testing, documentation and review. Work includes model development and validation of operational scorecards, IRB capital models for Pillar 1 Credit Risk, IFRS 9 impairment models, stress testing models and climate risk models.
Help stakeholders articulate and navigate their modelling requirements, including regulatory requirements from the perspective of interpretation choices and technical modelling choices, and manage expectations around compromises.
Contribute to go-to-market activities including thought leadership, marketing, eminence and proposal development.
Keep up to date with market trends including current client challenges, emerging industry themes and latest developments in analytics and modelling.
Help manage and grow the business in terms of both scale and profitability.
Review large volumes of information quickly to identify and disseminate key points in a coherent manner.
Qualifications
Essential attributes include:
A numerical degree or equivalent (Mathematics, Engineering, Physics, Operational Research, Computer Science). A Master's degree in a relevant quantitative/finance discipline or professional qualification such as PRMIA, GARP, CFA would be an advantage.
Experience with coding (language not specified) or ability to break down an applied math problem into arithmetic and logical steps.
A strong work ethic and a professional and personable demeanor.
High personal standards regarding the quality of your own work.
Ability to work effectively as part of a team, meeting demanding deadlines.
Additional experience:
Financial Services experience as part of a Financial Services Institution, in advisory or consulting capacity to similar organisations or in regulation of such institutions, particularly in Retail/Commercial/Corporate Banking Credit Risk.
Credit Risk Modelling experience (PD/LGD/EAD, Basel II & III, operational scorecards, IFRS 9, stress testing models including time series techniques) for banking book exposures.
Experience interpreting regulation, consulting diverse stakeholders and building consensus during decision making.
Experience with credit risk management and delivery software used for credit risk management and model execution across the customer lifecycle.
Credit risk management, modelling or business expertise within a Retail/Commercial or Corporate
We work collaboratively with our financial services industry clients to design, build and implement credit risk models. We advise and support a diverse group of clients on how best to deliver value in the face of a changing and complex regulatory agenda. Our work typically covers the development and validation of operational scorecards, IRB, Credit Risk, IFRS 9, forecasting, stress testing and climate risk models.
Responsibilities
Perform credit risk model development and validation activities, including model development/validation initiation and requirements capture, methodology design, model coding, engaging with business experts, model testing, documentation and review. Work includes model development and validation of operational scorecards, IRB capital models for Pillar 1 Credit Risk, IFRS 9 impairment models, stress testing models and climate risk models.
Help stakeholders articulate and navigate their modelling requirements, including regulatory requirements from the perspective of interpretation choices and technical modelling choices, and manage expectations around compromises.
Contribute to go-to-market activities including thought leadership, marketing, eminence and proposal development.
Keep up to date with market trends including current client challenges, emerging industry themes and latest developments in analytics and modelling.
Help manage and grow the business in terms of both scale and profitability.
Review large volumes of information quickly to identify and disseminate key points in a coherent manner.
Qualifications
Essential attributes include:
A numerical degree or equivalent (Mathematics, Engineering, Physics, Operational Research, Computer Science). A Master's degree in a relevant quantitative/finance discipline or professional qualification such as PRMIA, GARP, CFA would be an advantage.
Experience with coding (language not specified) or ability to break down an applied math problem into arithmetic and logical steps.
A strong work ethic and a professional and personable demeanor.
High personal standards regarding the quality of your own work.
Ability to work effectively as part of a team, meeting demanding deadlines.
Additional experience:
Financial Services experience as part of a Financial Services Institution, in advisory or consulting capacity to similar organisations or in regulation of such institutions, particularly in Retail/Commercial/Corporate Banking Credit Risk.
Credit Risk Modelling experience (PD/LGD/EAD, Basel II & III, operational scorecards, IFRS 9, stress testing models including time series techniques) for banking book exposures.
Experience interpreting regulation, consulting diverse stakeholders and building consensus during decision making.
Experience with credit risk management and delivery software used for credit risk management and model execution across the customer lifecycle.
Credit risk management, modelling or business expertise within a Retail/Commercial or Corporate
Contact Details:
Hm Revenue & Customs (Hmrc) Recruitment Team
