Model Developers in City of London

Moorgate, City of London, EC1

The Company

A specialised risk management and credit modelling consultancy dedicated to helping banks and financial institutions turn regulatory and data challenges into strategic advantages.

Founded in 20204 by industry-seasoned professionals with credit risk and banking backgrounds, the company draws on practical, hands‑on experience across both retail and wholesale banking contexts.

Gini is looking to hire Model Developers, these newly created roles provide the opportunity to help shape the company’s future. As the company continues to grow, there will almost certainly be opportunities to influence strategic direction, build out new service lines, and grow with the company. For someone entrepreneurial and motivated, this is a truly exciting career opportunity.

The Role

Model Developers, Credit Risk Retail & Wholesale Portfolios

Opportunities are available across multiple levels with a primary focus on Retail IRB model development.

Key Responsibilities

• Design, develop, and implement Retail and/or Wholesale/Commercial IRB models (PD, LGD, EAD) and IFRS 9 models in line with regulatory requirements.
• Perform end‑to‑end model documentation, statistical analysis, model performance monitoring, & back‑testing.
• Ensure models meet internal governance standards, supervisory guidelines, and regulatory frameworks.
• Collaborate with data, analytics, and business teams to source data, improve model quality, and streamline model lifecycle processes.

The Candidate

Required Experience & Skills

• 38 years experience in quantitative risk modelling, analytics, and/or decision science gained within a bank, consultancy, or regulatory environment.
• Strong track record in developing and delivering IRB or IFRS 9 models within Retail or Wholesale/Commercial credit portfolios.
• Proficiency in statistical and programming tools including Python and SAS.
• Solid understanding of regulatory requirements (PRA, CRR/CRD, ECB etc).
• Strong quantitative academic background (e.g., Statistics, Mathematics, Economics, Engineering, Finance).

• Outstanding verbal communication skills with the confidence and ability to explain complex modelling concepts and engage stakeholders.
• Strong analytical, problem‑solving, and documentation skills.
• Adaptable and collaborative with a demonstrable passion for data and analytics.

Renumeration

• Competitive compensation aligned to experience level.
• Equity.