Lead, Multi Asset Arbitrage Valuation

We are seeking a Lead, Multi Asset Arbitrage Valuation to join BAM’s Valuations & PnL Control team, supporting the Multi-Asset Arbitrage business across equity arbitrage, equity volatility, and a wide range of credit strategies. This role will focus on daily valuation oversight, PnL review, price verification, and exception management across a diverse set of products.

This is a highly collaborative role that partners closely with Front Office, Risk, Quantitative, Operations, and Technology teams. The ideal candidate is analytical, detail-oriented, and comfortable working in a fast-paced, deadline-driven environment.

Responsibilities

• Review and validate daily, MTD, and YTD PnL prior to distribution to key stakeholders
• Perform daily price verification and manage valuation exceptions across supported strategies
• Investigate and resolve PnL breaks related to market data, trade economics, lifecycle events, booking, and valuation inputs
• Validate valuation inputs, including prices, curves, volatility surfaces, and spreads
• Escalate material issues appropriately and drive timely resolution across stakeholder groups
• Support adherence to firm valuation and PnL recognition policies
• Review, challenge, and continuously enhance valuation methodologies and control standards across products
• Support valuation governance for new product and instrument onboarding
• Partner with Technology to improve reporting, controls, automation, and transparency
• Contribute to process improvement initiatives, special projects, and team cross-coverage

Qualifications

• Experience in valuation control, product control, PnL control, market risk valuation, or a related function
• Understanding of valuation concepts and controls across multi-asset products
• Familiarity with PnL production and reporting processes
• Advanced Excel and a strong preference for Python and SQL proficiency
• Strong analytical, problem-solving, and root-cause investigation skills
• Ability to work accurately and efficiently in a time-sensitive environment
• Strong written and verbal communication skills
• Strong ownership, attention to detail, and sound judgment
• Collaborative mindset and ability to work effectively across teams

Preferred Qualifications

• Experience in a hedge fund, bank, or similar institutional environment
• Bachelor’s degree in finance, mathematics, engineering, science, or a related field
• Familiarity with pricing, valuation, market data, and risk platforms
• Experience with Geneva or Arcesium
• Experience using AI-enabled tools to improve workflow automation or analysis