NAV & P&L Analyst, Middle Office

Greenhouse Software, Inc.; London; On-site; NOK 818,000 - 1,259,000; Full time

Benefits offered by this job

Mankind days

Private medical coverage

Pension/401k

Job summary

Man Group is seeking a Middle Office Analyst to support Asset Managers with fund profit and loss analysis and NAV calculations. You will review P&L across asset classes, validate security-level data, and support hedging and reconciliations with fund administrators.

Strong numeracy, coding with Python, and SQL skills are essential. The role involves using Bloomberg data, Excel and in-house tools, with opportunities to influence process improvements and reporting quality.

Qualifications

• Strong academic record and highly numerate.
• Programming experience in Python, Git, VBA and SQL is a strong advantage.
• 2–7 years of relevant experience at Investment Bank, Asset Manager, or Administrator.

Responsibilities

• Review and analyse fund profit and loss accounts across asset classes using firm systems and Bloomberg data.
• Check fund P&L accuracy at security level with risk-based measures and OTC derivatives.
• Calculate NAV of funds including complex management and performance fees.
• Coordinate with fund administrators to reconcile NAVs.
• Utilise in-house tools like Python, Confluence and Excel to deliver metrics and visualisations.
• Assist with feeder-master fund rebalance and volatility parameter tuning for client exposures.
• Set up new fund routes and liaise with structuring and PMs on parameter changes.
• Review FX exposures and instruct hedges for cash inflows/outflows.
• Review reconciliations between custodians, prime brokers and internal records.
• Contribute to data requests for fund performance/exposure and attend pricing committees.

Skills

Python

Git

VBA

SQL

Numeracy

Analytical thinking

Stakeholder communication

Education

Quantitative degree

Tools

Bloomberg

Confluence

Excel

Python

Git

SQL

Job description

Man Group is seeking a Middle Office Analyst to support Asset Managers with fund profit and loss analysis and NAV calculations. You will review P&L across asset classes, validate security-level data, and support hedging and reconciliations with fund administrators.

Strong numeracy, coding with Python, and SQL skills are essential. The role involves using Bloomberg data, Excel and in-house tools, with opportunities to influence process improvements and reporting quality.