Corporate Credit Analyst

Job Description:

We are looking for Corporate Credit Analysts with a strong foundation in Corporate Banking and Credit Risk who also have exposure to AI/ML applications in credit assessment.

This is not a hands-on AI engineering role.

Instead, you'll act as the bridge between business and technology, helping translate corporate credit requirements into AI-driven solutions that improve credit decision-making and risk management.

If you have experience in corporate credit analysis and understand how AI and Machine Learning can enhance credit evaluation, this role is for you.

Key Responsibilities:

- Collaborate with business and technology teams to ensure AI solutions align with corporate credit processes, regulatory requirements, and business objectives.

- Translate corporate credit use cases into clear functional, business, and data requirements for technical teams.

- Define, prioritize, and manage product backlogs to support successful AI solution delivery.

- Partner with stakeholders across Risk, Credit, Finance, and Business teams to validate AI use cases, outputs, and business impact.

- Support AI model adoption through user acceptance testing (UAT), process integration, and change management.

- Ensure AI initiatives comply with regulatory expectations, including ICAAP, model governance, and internal risk frameworks.

- Drive data-driven decision-making by identifying opportunities to improve corporate credit assessment using AI and analytics.

- Monitor implementation outcomes and recommend continuous process improvements.

Experience Range: 5 - 7 years

Skills Required:

Corporate banking, Credit Risk, Artificial Intelligence, Business Analytics

Candidate Attributes:

- Strong understanding of Corporate Credit processes, underwriting, and risk assessment frameworks.

- Exposure to AI, Machine Learning (ML), and Generative AI use cases within banking or financial services.

- Ability to translate business problems into structured, data-driven solutions.

- Knowledge of regulatory frameworks such as ICAAP, model governance, and risk management practices.

- Strong analytical, problem-solving, and stakeholder management skills.

- Excellent communication and cross-functional collaboration abilities.