Sr. Consultant- Quantitative Credit Risk

About Us:

Solytics Partners is a Global Analytics firm, recognized with multiple industry awards for innovation and excellence. Our team comprises experts with deep domain knowledge in risk, analytics, AI/ML, AML/FCC, and fraud. By converging this expertise with cutting-edge technologies like AI, Machine Learning, Generative AI, and Large Language Models (LLMs), we deliver powerful automated platforms and incisive point solutions.

Our offerings enable clients to streamline and future-proof their risk, AML, and analytics processes, comply seamlessly with global regulations, and safeguard financial systems. Whether it's solving complex challenges or driving operational efficiency, Solytics Partners is committed to empowering organizations with transformative tools to stay ahead in an evolving regulatory landscape.

Job Summary:

We are seeking a skilled and motivated Credit Risk Modeler to support the development, implementation, and maintenance of Internal Ratings-Based (IRB) credit risk models across Retail, SME/Business Banking, and Corporate portfolios.

The role will play a key part in supporting the bank's IRB permission application and ensuring ongoing compliance with regulatory frameworks such as CRR, CRD IV, and PRA expectations. The candidate will work within a quantitative modelling team responsible for delivering high-quality, regulatory-compliant credit risk models.

Key Responsibilities:

• Develop and maintain IRB credit risk models including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD).
• Support IRB model development across Retail, SME/Business Banking, and Corporate portfolios.
• Interpret regulatory requirements (CRR, CRD IV, EBA guidelines, PRA SS11/13) and translate them into robust modelling methodologies.
• Perform detailed analysis of loan-level datasets to identify key risk drivers and support model development.
• Use Python as the primary tool for data analysis, model development, and validation.
• Ensure models are developed in line with regulatory expectations and are defensible under validation and audit reviews.
• Prepare high-quality model documentation for internal governance and regulatory submissions.
• Collaborate with independent model validation teams, model risk governance, and other stakeholders.
• Support model lifecycle activities including development, testing, implementation, and periodic reviews.

Key Requirements:

• 4–8 years of experience in credit risk modelling, preferably within an IRB framework.
• Strong understanding of IRB regulatory frameworks including CRR, CRD IV, EBA guidance, and PRA SS11/13.
• Hands-on experience in developing PD, LGD, and EAD models.
• Experience working with Retail, SME/Business Banking, and/or Corporate portfolios.
• Strong analytical skills with experience handling large loan-level datasets.
• Advanced proficiency in Python for data analysis and model development.
• Working knowledge of SAS, R, and advanced Excel.
• Strong understanding of statistical modelling techniques and risk drivers.
• Experience in preparing model documentation for regulatory and internal governance purposes.
• Ability to clearly communicate modelling approaches, assumptions, and outputs to stakeholders.