Our client is looking for a Valuation – Senior Associate to join their investment management team—a high-performing group at the intersection of traditional financial analysis and cutting-edge simulation techniques.

This is a rare opportunity for someone with a niche blend of financial modeling expertise and coding proficiency, who is ready to bring added horsepower to their valuation platform. As the team evolves to incorporate advanced simulation methods—such as Monte Carlo simulations, stochastic modeling, and Black-Scholes analysis—we need a candidate who’s not only grounded in classic techniques like DCF, public company comparables, and precedent transactions, but who can also elevate our client’s capabilities with quantitative precision and technical execution.\

Key Responsibilities:

• Support monthly and quarterly investor reporting, contributing both qualitative insights and quantitative analysis on asset performance.
• Build and refine valuation models using a mix of traditional and advanced quantitative techniques including Monte Carlo simulations and Black-Scholes modeling.
• Enhance the team’s analytical firepower by applying simulation-based forecasting and scenario analysis to assess business performance and value.
• Calculate performance return metrics and conduct benchmarking analysis for private capital portfolios.
• Interface with internal teams (investments, finance, accounting, tax, and treasury) and portfolio companies to gather data and provide analytical insights.
• Collaborate on initiatives to streamline and enhance valuation processes, integrating Python or other code-based tools for scale and accuracy.
  

Requirements:

• At least 4–7 years of experience combining rigorous financial modeling and Python/code development.
• Solid foundation in traditional valuation techniques, with the ability to apply and interpret advanced modeling methods (e.g. stochastic modeling, option pricing, simulations).
• Experience with alternative asset return calculations and investor reporting is a strong plus.
• Progress toward or completion of the CFA is highly regarded.
• Passion for solving complex problems and delivering clear insights from data.