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The Business Analytics Int Analyst is a developing professional role. Deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the sub function/ job family. Applies analytical thinking and knowledge of data analysis tools and methodologies. Requires attention to detail when making judgments and recommendations based on the analysis of factual information. Typically deals with variable issues with potentially broader business impact. Applies professional judgment when interpreting data and results. Breaks down information in a systematic and communicable manner. Developed communication and diplomacy skills are required in order to exchange potentially complex/sensitive information. Moderate but direct impact through close contact with the businesses' core activities. Quality and timeliness of service provided will affect the effectiveness of own team and other closely related teams.
Job Responsibility:
Gathers operational data from various cross functional stakeholders to examine past business performance
Identifies data patterns & trends, and provides insights to enhance business decision making capability in business planning, process improvement, solution assessment etc
Recommends actions for future developments & strategic business opportunities, as well as enhancements to operational polices
AI Project Strategy & Planning: Define project scope, objectives, and deliverables for AI/ML initiatives
Stakeholder Engagement: Collaborate closely with data scientists, quantitative analysts, tech and business teams
Risk and Governance Management: Identify and mitigate project risks
Budget and Resource Optimization: Manage project budgets, track expenditures
Technical Oversight & Integration: Possess a foundational understanding of AI/ML technologies
Performance Monitoring & Value Realization: Establish clear success metrics for AI projects and monitor model performance post-deployment
Team Leadership & Development: Lead, mentor, and motivate cross-functional project teams
Marketing and Communication Content Creation: Develop engaging marketing content
Requirements:
Bachelor's or Master's degree in Computer Science, Data Science, or MBA (Finance) or equivalent in Finance
5+ years of progressive experience in project management, with a significant portion dedicated to technology-driven or complex data projects
1-3+ years of direct experience managing AI/ML projects from conception to deployment
Demonstrable experience within the financial services industry, specifically with corporate or transaction banking
Proven track record of managing projects with diverse technical and business stakeholders, including data scientists, engineers, and financial analysts
Nice to have:
Project Management Professional (PMP), PRINCE2, or equivalent certification is highly preferred