Business Analyst
Role Overview
The Business Analyst bridges business objectives and technical AI execution, supporting AI-powered solutions from requirements and feasibility through UAT and change management.
The role ensures AI initiatives align with ethical, regulatory, and performance standards and fit into banking workflows.
Key Skills for This Role
Full Job Posting
About DeepLight AI
DeepLight AI is an AI and data consultancy implementing intelligent enterprise systems, with experience in financial services and banking.
Its capabilities include data science, statistical modeling, AI/ML technologies, workflow automation, systems integration, and business operations.
Role overview
The Business Analyst bridges business objectives and technical AI execution, supporting AI-powered solutions from requirements and feasibility through UAT and change management.
The role ensures AI initiatives align with ethical, regulatory, and performance standards and fit into banking workflows.
Responsibilities
- Facilitate workshops and interviews to document business requirements and translate them into AI specifications for data inputs and model outputs.
- Work with Data Scientists and ML Engineers to assess use-case feasibility and strategic alignment.
- Define model validation, bias detection, and performance benchmarking strategies for accuracy and fairness.
- Create training materials and user manuals explaining AI confidence scores, outputs, and limitations.
- Identify banking workflow opportunities for AI automation and predictive analytics.
- Communicate requirements between business units and IT and maintain project traceability.
- Present and explain technical decisions and advocate for AI solutions with stakeholders.
- Monitor model behavior for ethical issues or performance drift.
Required qualifications
- Bachelor's degree in Computing, Engineering, Commerce, or Business Administration.
- At least 5 years of professional business analysis experience.
- Experience supporting AI/ML project lifecycles, requirements documentation, and UAT.
- Financial-services regulatory compliance and data-governance experience.
- Ability to convert vague business needs into technical metrics and AI performance benchmarks.
- Experience with model validation and detecting anomalies or bias in AI behavior.
- Expertise in audit trails, versioning, and decision-logic documentation for AI models.
- Strong understanding of data privacy regulations, ethical AI, and internal governance frameworks.
- Ability to analyze workflows for AI automation opportunities.
- Strong stakeholder management, presentation, and communication skills.
Desired qualifications
- Ability to explain opaque AI concepts to non-technical users and build trust is desired.
- Familiarity with business analysis processes for rapid, iterative AI development is desired.
- Ability to uncover business needs that stakeholders may not yet recognize as suitable for AI is desired.
- Proactive monitoring of AI model behavior for ethical concerns or performance drift is desired.
Benefits and growth
- Competitive salary, visa sponsorship, and health insurance are offered.
- Professional development and certification support are available.
- The role offers work on AI projects and potential career advancement in a growing AI company.
Application process
- The employer states that application and interview processes are designed to be accessible, predictable, and fair; candidates may request reasonable adjustments.
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