Role Overview
We are looking for a Business Analyst with strong expertise in Credit Risk Management and a solid understanding of AI concepts (NLP, Generative AI, LLMs). The role requires hands-on experience in banking/financial services IT, data analysis, and business analysis methodologies. The ideal candidate will be a strategic thinker who can bridge business needs with IT solutions, collaborate with data science teams, and manage stakeholders across global teams.
Key Responsibilities
- Collaborate with business and IT stakeholders to gather, analyze, and translate requirements into actionable solutions.
- Support Credit Risk management initiatives including policy development, enhancement, and implementation.
- Leverage AI concepts (NLP, Generative AI, LLMs) to drive innovative risk management solutions.
- Perform data analysis using SQL and partner with data science teams to support model development and validation.
- Ensure solutions align with banking regulatory requirements and internal IT architectures.
- Participate in Agile delivery frameworks (SCRUM, DevOps, LEAN), ensuring timely and quality delivery of initiatives.
- Manage cross-functional stakeholders, ensuring effective communication and alignment across business, IT, and compliance functions.
- Create documentation, business process flows, and functional specifications to support solution delivery.
- Provide insights into emerging AI/ML applications in financial services with a focus on Credit Risk.
Must-Have Skills & Qualifications
- Bachelor’s or Master’s Degree in IT, Finance, Business, or a related discipline.
- 5+ years of experience in banking and/or financial services IT.
- Strong expertise in Credit Risk management (policy development or implementation).
- Familiarity with AI concepts including NLP, Generative AI, prompting, and LLMs (e.g., OpenAI).
- Experience with business analysis methodologies and IT architectures.
- Proficiency in data analysis using SQL.
- Experience collaborating with data science teams.
- Proven stakeholder management and experience working in Agile delivery environments (DevOps, SCRUM, LEAN).
- Excellent communication skills in English (both written and spoken).
Nice-to-Have Skills
- Knowledge of Dutch language (not mandatory, but a plus).
- Exposure to advanced AI/ML use cases in financial services.
- Hands-on experience in risk data management and regulatory compliance.
Competencies
- Business Analysis
- Data Science (Digital)
- PL/SQL