Risk and Portfolio Analytics Associate

The Role

You will work directly with the portfolio management team, taking ownership of daily risk and P&L reporting and developing the analytics that support investment decisions. This role offers broad exposure to a multi-asset macro portfolio and the opportunity to improve reporting, data quality and automation in a small team.Key Responsibilities

· Produce daily, weekly and ad hoc risk and P&L reports across multiple portfolios.

· Monitor Greeks, sensitivities, concentrations, correlations, maturities and performance statistics.

· Design and run Monte Carlo simulations, historical and hypothetical stress tests, and shock scenarios.

· Analyze P&L attribution by strategy, asset class and risk factor.

· Build and maintain API-based data pipelines connecting Bloomberg, internal systems and external providers, including fund administrators.

· Develop and automate reporting tools using Python and Excel, including VBA where appropriate.

· Apply AI tools and agent-based workflows where useful to automate data collection, analysis and reporting.

· Partner with portfolio management and operations on data accuracy and reconciliation, and support investor reporting and due diligence requests.

Core Qualifications

· 2–3 years of relevant risk, portfolio analytics or quantitative experience at a bank, hedge fund or similar firm.

· Strong Python skills, experience working with APIs and data, and advanced Excel proficiency.

· Practical experience with risk or P&L analysis and a working knowledge of derivatives, options pricing and Greeks.

· A quantitative degree in mathematics, statistics, economics, finance, engineering or a related field.

· Strong attention to detail, clear communication and the ability to manage recurring reporting deadlines independently.

Preferred Experience

· Multi-asset portfolios, particularly rates, FX and volatility, including listed and OTC instruments.

· Bloomberg Terminal and Bloomberg API, risk and P&L systems, and Excel/VBA automation.

· Monte Carlo simulation and stress testing.

· Practical use of AI tools and agent-based workflows for analytical tasks.

Compensation

Base salary of $125,000–$175,000, plus discretionary bonus. Final compensation will be commensurate with experience.