AI Product Analyst
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Key skills for this role
About the Role
MultiBank Group is looking for an AI Product Analyst to drive analytics for AI-powered products in fintech. The role involves defining KPIs, designing experiments, and leading a team of analysts.
Key Skills for This Role
Responsibilities
- Define and execute the analytics strategy for AI powered products, machine learning models, and intelligent automation initiatives
- Establish scalable data frameworks, KPIs, and measurement systems to evaluate AI product performance and business impact
- Collaborate with AI Engineers, Data Scientists, Product Managers, and Development teams to translate business requirements into analytical roadmaps
- Develop methodologies for monitoring model performance, prediction accuracy, user adoption, drift detection, and AI effectiveness
- Design and evaluate experiments, A/B tests, and AI model comparisons to optimize product outcomes
- Analyze customer behavior, trading patterns, engagement funnels, and operational workflows to identify opportunities for AI driven improvements
- Build executive dashboards and reporting frameworks that communicate AI performance and business value to senior stakeholders
- Ensure data quality, consistency, and governance across AI systems, analytics platforms, and customer facing applications
- Create and maintain comprehensive documentation for AI metrics, model definitions, event taxonomies, and analytical processes
- Lead, mentor, and develop a team of Product Analysts while fostering a data driven culture across the organization
Requirements
- 5+ years of experience in Product Analytics, Data Analytics, AI Analytics, Data Science, or a related field
- Strong hands on expertise in SQL and working with large scale datasets
- Experience supporting AI, Machine Learning, Generative AI, or intelligent automation products in production environments
- Strong understanding of machine learning concepts, model evaluation metrics, feature engineering, and AI performance monitoring
- Proven experience designing and analyzing experiments, A/B testing frameworks, and statistical significance methodologies
- Experience with analytics and observability platforms such as Mixpanel, Amplitude, GA4, Segment, Datadog, Grafana, or similar tools
- Familiarity with cloud based analytics environments and modern data platforms (AWS, Azure, GCP, Snowflake, Databricks, or equivalent)
- Excellent stakeholder management, communication, and presentation skills
Full Job Posting
Role Overview
- We are seeking an AI Product Analyst to drive the analytical foundation of MultiBank Group’s AI and data initiatives.
- This role sits at the intersection of Artificial Intelligence, Product Analytics, and Financial Technology.
Key Responsibilities
- Define and execute the analytics strategy for AI powered products, machine learning models, and intelligent automation initiatives.
- Establish scalable data frameworks, KPIs, and measurement systems to evaluate AI product performance and business impact.
- Collaborate with AI Engineers, Data Scientists, Product Managers, and Development teams to translate business requirements into analytical roadmaps.
- Develop methodologies for monitoring model performance, prediction accuracy, user adoption, drift detection, and AI effectiveness.
- Design and evaluate experiments, A/B tests, and AI model comparisons to optimize product outcomes.
- Analyze customer behavior, trading patterns, engagement funnels, and operational workflows to identify opportunities for AI driven improvements.
- Build executive dashboards and reporting frameworks that communicate AI performance and business value to senior stakeholders.
- Ensure data quality, consistency, and governance across AI systems, analytics platforms, and customer facing applications.
- Create and maintain comprehensive documentation for AI metrics, model definitions, event taxonomies, and analytical processes.
- Lead, mentor, and develop a team of Product Analysts while fostering a data driven culture across the organization.
Qualifications and Requirements
- 5+ years of experience in Product Analytics, Data Analytics, AI Analytics, Data Science, or a related field.
- Strong hands on expertise in SQL and working with large scale datasets, customer journeys, transactional data, and behavioral analytics.
- Experience supporting AI, Machine Learning, Generative AI, or intelligent automation products in production environments.
- Strong understanding of machine learning concepts, model evaluation metrics, feature engineering, and AI performance monitoring.
- Proven experience designing and analyzing experiments, A/B testing frameworks, and statistical significance methodologies.
- Experience with analytics and observability platforms such as Mixpanel, Amplitude, GA4, Segment, Datadog, Grafana, or similar tools.
- Familiarity with cloud based analytics environments and modern data platforms (AWS, Azure, GCP, Snowflake, Databricks, or equivalent).
- Knowledge of financial markets, trading platforms, fintech products, CFDs, cryptocurrency, or digital asset ecosystems is highly desirable.
- Excellent stakeholder management, communication, and presentation skills with the ability to influence senior leadership.
Preferred Profile
- Experience measuring and optimizing Generative AI applications, LLM based products, AI assistants, recommendation systems, or predictive analytics solutions.
- Familiarity with MLOps concepts, model lifecycle management, and AI governance frameworks.
- Experience working within regulated industries such as financial services, banking, fintech, or capital markets.
- Strong business acumen with the ability to connect AI initiatives to measurable commercial outcomes.
- Passion for emerging AI technologies and their practical application in financial services.
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