Senior Analyst, Products and Hedging Solutions

Job Description

Senior Analyst, Products and Hedging Solutions | Aon Consulting

The Tone:
This is a full-time role at Aon Consulting, located in Toronto, Ontario, with a hybrid work model. Aon is in the business of shaping decisions for clients to protect and enrich lives globally. This role is within the PathWise® Solutions Group (PSG), which provides high productivity computing software, consulting, and advisory services to financial intermediaries, primarily insurance companies. The Senior Analyst will play a crucial part in delivering innovative and effective solutions, empowering clients through advanced hedging and asset management strategies.

The TL;DR
• Role: Full Time
• Location: Hybrid – Toronto, Ontario, Canada
• Team: PathWise® Solutions Group (PSG) business group within Aon Reinsurance; reports to the Managing Director, Products and Hedging Solutions.
• Mission: Develop Python models and analyze hedging and asset allocation strategies in the PathWise® platform to design new financial models and processes that effectively manage complex Actuarial, Financial, and Capital Market risks for clients.
• Tech Stack: Python (NumPy, SciPy), PathWise®, GPU

What You’ll Actually Do
• Development: Design and develop robust Python processes for hedging, strategic asset allocation, scenario generator calibration, and financial reporting.
• Analysis: Assist in the daily hedge reporting and P&L analysis services for Aon’s clients.
• Strategy Implementation: Play a key role in developing and implementing hedging and asset management strategies in PathWise to manage complex exposures effectively.
• Model Building: Develop, maintain, and document sophisticated financial asset and liability models in PathWise to support investment and risk management projects.
• Quantitative Research: Participate in quantitative research projects supporting investment decision processes, applying skills such as time series regressions, optimization, Monte Carlo simulation, and data visualization techniques.

The Must-Haves
• Background: Bachelor’s degree in Computer Science/Computer Engineering, focused on product development and hedging solutions.
• Experience: 3+ years of proven experience as a Python developer in a technology, investment management, risk management, hedging, or model vetting role.
• Skills: Expert programming skills in Python, particularly NumPy and SciPy; strong analytical and problem-solving skills; knowledge of numerical techniques in time series analysis and Monte-Carlo simulation; strong communication skills for team and client interactions.
• Bonus: Master’s degree or equivalent in a quantitative field (Financial Engineering, Mathematical Finance); knowledge of financial assets including derivatives and their valuation models; knowledge of stochastic interest rate and equity models; knowledge of statistics, finance, and economics; experience working with financial software packages such as Numerix or FinCAD.