Business analyst with Credit Risk

Job Description:

We are seeking an experienced Senior Business Analyst with specialized expertise in Credit Risk within the Investment Banking sector. The successful candidate will have a strong background in credit risk analysis, data spreading, and risk data management. Recent experience with AI and GanAI projects is highly desirable. This role involves working with diverse stakeholders, developing detailed requirements, and supporting testing activities to enhance credit risk frameworks and systems.

Key Responsibilities:

Lead the development of feature lists, detailed business requirements, and technical specifications for credit risk initiatives.

Collaborate with stakeholders to understand business needs and translate them into comprehensive documentation.

Support the testing lifecycle, including UAT and system testing, ensuring requirements are met.

Contribute to AI/GanAI-based projects to leverage emerging technologies in risk analysis and data management.

Work effectively with remote teams in India, ensuring clear communication and project alignment.

Present project progress, findings, and technical insights to senior management and risk teams.

Maintain compliance with regulatory standards and internal credit risk policies.

Qualifications:

10+ years of experience in Credit Risk, with a focus on risk analysis, data spreading, and related topics within a large Investment Bank or risk data providers.

5+ years of hands-on experience in credit risk processes and data management.

Proven experience in requirements gathering, development, and testing.

Recent experience working on AI/GanAI projects (minimum 1 year).

Strong verbal and written communication skills, with excellent presentation capabilities.

Ability to coordinate with remote teams located in India.

CFA or FRM certification is preferred.

Skills & Competencies:

Extensive knowledge of credit risk analysis, regulatory standards, and risk management frameworks.

Strong analytical, problem-solving, and organizational skills.

Familiarity with risk data, credit spreads, and data-driven decision-making.

Experience with requirements management and testing methodologies.

Knowledge of AI and GanAI applications in financial risk analysis.

Proactive stakeholder management and cross-functional collaboration skills.