AI Product Analyst

Overview

Multibank Group

Role Overview

Ai Product Analyst

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.

Why Join Us?

• Work with an industry-leading global financial institution at the forefront of AI innovation in financial services.
• Help shape the future of AI-powered trading, automation, and customer experiences across a global organization.
• Competitive salary and comprehensive employee benefits.
• Opportunities for professional growth and career advancement in AI, data, and product leadership.
• Collaborative, inclusive, and dynamic work environment.
• Commitment to innovation, cutting-edge technology, and professional excellence.
• *Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of AI-driven finance.*