We are seeking a VP-level Product Controller to join our Bangalore office, with a proven track record of experience across a range of asset classes, with a strong focus on Rates, FX and Equities. The successful candidate will work closely with Portfolio Managers, Trading, Operations, and Risk teams globally to explain P&L drivers, ensure robust valuation controls, lead and drive forward ongoing projects and support the continued enhancement of Caxton’s operating and control framework.

This role offers exposure to complex derivatives, direct interaction with investment teams, and opportunities to contribute to process automation and technology initiatives.

Responsibilities:

• Own and explain daily P&L, providing clear attribution and analysis, being the primary Product Control point of contact for Portfolio Managers in the Dubai and Singapore offices, as well as supporting the wider team on global P&L-related queries.
• Help to lead and guide junior Product Control members in the Bangalore office.
• Lead and drive forward key ongoing projects and initiatives to enhance valuation accuracy, controls, and operational efficiency.
• Assist in performing Independent Price Verification (IPV) using internal models and third-party sources (e.g. Bloomberg, Citi Velocity), and resolve pricing discrepancies.
• Execute, review and enhance key daily, weekly, and monthly controls, including position and valuation reconciliations with the fund administrator, ensuring compliance with fund SLAs.
• Partner with Portfolio Managers, Operations, Risk, Quant, and Finance teams to investigate and resolve booking, valuation, and P&L issues.

Experience:

• 10+ years of experience in Product Control / IPV / Valuation within a hedge fund, asset manager, or investment bank.
• Strong academic background: CA, CFA, or MBA (Finance) preferred.
• Proven experience of being able to lead and drive projects/initiatives to completion.
• Strong technical knowledge of across asset classes primarily Rates, FX and Equities, including valuation methodologies, risk sensitivities and P&L attribution.
• Solid understanding of lifecycles across asset classes.
• Strong understanding of yield curves and volatility surfaces, and model-based pricing for rates products.
• Proficiency with market data and valuation tools such as Bloomberg (or equivalent).
• Experience with AI tool would be beneficial