Senior Quantitative Analyst

Senior Quantitative Analyst, Credit Risk – Credit Risk Analytics

and Model Review Quants (Market and Credit Risk)

Have you got what it takes to succeed The following information should be read carefully by all candidates.

Position 1: Senior Quantitative Analyst, Credit Risk (3 open roles)

Location:London (Hybrid Working)

Our client, a leading global investment bank, is currently seeking an experienced professional to join their Model Development team in the role of Senior Quantitative Analyst, Credit Risk. This position offers a unique opportunity to contribute to the development and maintenance of statistical credit risk models that are integral to their global operations.

Key Responsibilities:

• Delivering components of quantitative credit risk model development, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models.
• Developing and maintaining models under the Advanced Internal Ratings Based (AIRB) approach and IFRS9 provisioning process.
• Conducting data quality assessments and performing data analytics to support model development.
• Building and benchmarking challenger models using advanced techniques, including machine learning.
• Assessing model performance, impact, and reporting findings to senior management.
• Collaborating with risk transformation and data teams for model implementation.
• Engaging with stakeholders across global regions and disciplines to design best-in-class modelling approaches.

Required Qualifications:

• Significant experience in wholesale credit risk modelling, including PD, EAD, and LGD models.
• Excellent understanding of AIRB and/or IFRS9 credit risk modelling frameworks.
• Familiarity with UK (PRA) or EU (EBA/ECB) regulatory requirements.
• Proficiency in manipulating large data sets, particularly using Python, and a strong grasp of credit risk-related data.
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proven track record of cross-functional collaboration in a global environment.

Desirable Skills:

• Experience with Python, SAS, and SQL.
• Knowledge of model implementation within a banking environment, linked to policies and regulations.
• Proficiency in English, both written and verbal.

Position 2: Quantitative Analyst, Credit Risk (2 Open Roles)

Location:London (Hybrid Working)

In addition to the Senior role, our client is also looking to fill a slightly junior position within the same team: Quantitative Analyst, Credit Risk. This role offers an excellent opportunity for professionals looking to further their career in credit risk analytics.

Key Responsibilities:

• Assisting in the development of PD, LGD, and EAD models as part of a dynamic team.
• Conducting data quality assessments and analytics to support model development.
• Supporting the build and evaluation of challenger models using a variety of techniques.
• Working closely with team leads to ensure successful model implementation and stakeholder engagement.

Required Qualifications:

• Experience in credit risk modelling, particularly in PD, LGD, and EAD.
• Basic understanding of AIRB and/or IFRS9 frameworks.
• Familiarity with data manipulation tools, preferably Python.
• Ability to work effectively in a collaborative, global environment.

Desirable Skills:

• Knowledge of Python, SAS, and SQL.
• Understanding of regulatory requirements and model implementation processes.

Both roles are based in London with hybrid working arrangements. These positions offer an excellent opportunity to join a thriving and expert risk management function within a prestigious global investment bank, where you can contribute to cutting-edge credit risk models and play a key role in their development and implementation.

Position 3 Senior Quant FTRB Model Validation/Review (3 Open Roles) - please apply for full spec.

Position 4 Senior Quantitative Analyst, Credit Risk Model Validation/Review (2 Open Roles) - please apply for full spec.

I can also facilitate entire Team Moves - please feel free to call me on for a confidential conversation.

Thanks

Parv