The posting
Job Overview
Job Overview
The Senior Analyst will join the Smart Fees (Fees & Expense Management) department and be responsible for the analysis, reconciliation, validation, and management of fees related to Brokerage, Clearing, Exchange, Regulatory, and other Market Data services in accordance with client Service Level Agreements (SLAs).
The role requires strong knowledge of OTC products, fee structures, invoice processing, reconciliations, and exception management. The successful candidate will be expected to independently manage complex operational activities, work directly with clients and market participants, drive issue resolution, improve processes, and contribute towards strategic initiatives across the department.
Beyond operational excellence, we are seeking a highly analytical, technology-driven, and proactive individual with a strong passion for AI, automation, and data-driven decision making. The ideal candidate will possess hands-on experience leveraging AI and automation tools to improve business outcomes, identify efficiency opportunities, develop innovative solutions, and generate actionable insights from complex datasets.
This role is suited to a self-starter who takes ownership, challenges the status quo, demonstrates strong commercial awareness, and combines deep operational expertise with technology-led problem solving.
Key Responsibilities
Operations & Reconciliations
• Reconcile fees related to OTC and Listed Derivatives products including CDS, IRS, FX, Equities, Bonds, Futures, Options, and other market products.
• Perform detailed analysis and validation of brokerage, clearing, exchange, regulatory, and market data fee calculations.
• Investigate and resolve complex exceptions, breaks, disputes, and reconciliation variances.
• Review, validate, and process client, broker, exchange, and vendor invoices while maintaining a high level of accuracy and control.
• Ensure all client service levels and internal controls are met consistently.
• Perform root cause analysis on operational issues and drive sustainable resolutions.
• Proactively identify risks and escalate critical issues where appropriate.
Client & Stakeholder Management
• Serve as a key point of contact for external and internal stakeholders.
• Manage investigations and queries relating to invoices, reconciliations, fee calculations, billing discrepancies, and operational processes.
• Participate in client operational discussions.
• Build and maintain effective working relationships with both internal and external stakeholders.
• Communicate complex issues clearly and provide meaningful analysis and recommendations.
Process Improvement & Operational Excellence
• Identify opportunities to improve operational efficiency, scalability, productivity, and controls.
• Evaluate and streamline existing processes to reduce manual effort and operational risk.
• Contribute towards the enhancement of procedures, controls, SOPs, and governance frameworks.
• Support audit, compliance, regulatory, and control initiatives through accurate documentation and evidence management.
• Promote a culture of continuous improvement and operational excellence.
Technology, Automation & AI Innovation
• Actively identify opportunities to leverage Artificial Intelligence, Generative AI, automation, and data analytics to enhance operational performance.
• Lead the development and implementation of automation and efficiency initiatives across operational workflows.
• Design and develop analytical solutions, dashboards, automation utilities, proofs of concept, and reporting tools.
• Utilize AI platforms and automation technologies to optimize processes, strengthen controls, improve data quality, and reduce manual effort.
• Translate business challenges into technology-driven solutions with measurable outcomes.
• Collaborate with Business Analysts, Product Teams, Development, QA, and Project stakeholders to deliver strategic improvements.
• Remain current with emerging AI, automation, and analytics technologies and proactively identify opportunities for adoption.
• Act as a technology and innovation champion within the team.
Leadership & Knowledge Sharing
• Support, coach, and mentor junior team members.
• Act as a subject matter expert across assigned products, clients, or operational processes.
• Share knowledge and best practices across the department.
• Demonstrate ownership and accountability for deliverables and broader team objectives.
• Contribute towards departmental strategy, innovation, and capability development initiatives.
Requirements
• 4-6 years of experience within Investment Banking Operations, Brokerage, Fees & Expense Management, Reconciliations, Market Data, or related Financial Services functions.
• Strong knowledge of OTC Derivatives products and end-to-end trade lifecycle concepts.
• Sound understanding of Investment Banking products, market infrastructure services, fee models, and operational workflows.
• Proven experience managing client, broker, exchange, vendor, and stakeholder relationships.
• Strong analytical, investigative, and problem-solving capabilities.
• Ability to deep dive into complex operational issues, identify root causes, and recommend practical solutions.
• Advanced Excel and data analysis skills.
• Experience working with large datasets and generating meaningful business insights.
• Outstanding attention to detail and accuracy.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to independently manage priorities and deliver results with minimal supervision.
• Proven hands-on experience utilizing AI, Generative AI, automation, and productivity tools within a business environment.
• Demonstrated track record of delivering efficiency improvements, automation initiatives, process optimization, or operational transformation projects.
• Self-starter mindset with a high degree of ownership, accountability, curiosity, and initiative.
• Ability to challenge existing processes and identify opportunities to improve efficiency, controls, scalability, and client outcomes.
Preferred / Desirable Skills
• Experience with SQL, Python, Power BI, Tableau, Power Automate, VBA, or similar analytical and automation technologies.
• Hands-on experience using AI tools such as Microsoft Copilot, Claude, or comparable enterprise AI platforms.
• Experience building dashboards, automation workflows, analytical models, reporting solutions, or AI-assisted business processes.
• Knowledge of data visualization, business intelligence, and advanced analytics concepts.
Experience working across Operations, Technology, Product, and Change functions
