Senior Analyst, Middle Office Accounting

Job Summary:

The Middle Office team is responsible for Security pricing controls, NAV (Net Asset Valuation) calculations, fee modelling, and portfolio rebalancing across Feeder/Master/Multi Book structures, as well as setting trading levels and instructing FX hedges related to client capital flows. The role involves running key operational processes independently, while continuing to develop broader technical and operational expertise. The team develops tools and reporting solutions, widely used across the firm, primarily using Python, Excel, and internal databases to deliver critical reporting and analytics. The analyst demonstrates technical expertise and ability to contribute to process improvements and collaborate on wider projects.

Specific Responsibilities:

Responsibilities

• Review and analyse financial products and derivatives, including their pricing and profit/loss calculations
• Support daily operational processes including hedge fund valuations and reconciliations
• Work with various internal tools and databases to deliver reporting and analytics
• Contribute to process improvements and automation initiatives

Technical Development:

• Contribute to the team's continuous improvement of systems, controls and workflows
• Learn and utilize programming tools to enhance team processes and reporting

Stakeholder Engagement:

• Collaborate with team members and other departments both in daily activities and long-term projects
• Communicate findings and recommendations clearly to various stakeholders

Professional Development:

• Take advantage of training opportunities in technical and financial topics
• Develop understanding of investment operations and market infrastructure
• Contribute ideas for process improvement and efficiency

 

Technical Competencies:

• Strong analytical mindset with ability to solve complex problems
• Keen attention to detail and strong organizational skills
• Ability to work both independently and as part of a team
• Excellent communication skills and confidence to raise questions
• Demonstrated ability to learn new concepts quickly
• Strong academic background in a quantitative or analytical field (Mathematics, Finance and Accounting, Physics, Engineering, Computer Science, or any data/finance-oriented disciplines)
• Interest in financial markets and motivation to build a career in the industry

Advantages (but not required):

• Basic programming knowledge with enthusiasm to develop technical skills
• Previous exposure to financial services industry
• Professional qualifications (CFA, accounting qualifications) or studying towards
• Python programming (or similar languages), SQL or database experience