USI | FY26 | Audit & Assurance | Valuation & Analytics - Consultant

The key job responsibilities include the following:

• Serve as a team member for Valuation & Analytics practice. The work will focus on independent pricing of financial instruments, building and executing data analytics to support audit objectives, using vendor data and tools such as Capital IQ, Refinitive Eikon, Markit, Superderivatives, FinMechanics etc.
• Serve as a team member on engagements where responsibilities include detailed execution of valuation and modeling projects and documentation of modeling methodologies and results.
• Preparing audit documentation of valuations.
• Ability to collaborate with audit teams across companies of all sizes and across multiple industries.
• Handling price challenges from the audit team and ability to explain difficult financial modeling/valuation concepts to diverse audiences and to experts at various clients
• Responsible for building and managing relationships and communications with audit team members.

The key skills required

• Strong undergraduates with engineering/ mathematics and statistics background and/or relevant work experience in financial services and capital markets would be considered. Additionally candidates with background in probability and statistics with CFA/ FRM/PRM would be preferred.
• Background in financial derivatives, structured products and energy and commodities including detailed knowledge of valuation model and techniques is a plus.
• Experience with handelling large data set for Interest rates, Fx, Credit and Equity from different market vendors is a plus.
• Strong analytical and computer skills including experience with quantitative analysis technical tools and techniques such as Refinitive, Markit, Capital IQ, Bloomberg, Monte-Carlo Simulation tools such as Crystal Ball and @Risk, FinCAD, Numerix, Savysoft TOPS, Principia, Super Derivatives, are a plus.
• Background in mathematical finance at the level of a Master's level degree in Mathematical Finance, Mathematics of Finance, Financial Engineering or Quantitative Finance is a strong plus.
• Experience with programming laguages including SAS, Python and R is highly desired.
• Familiarity with financial markets, financial instrument valuation (including derivatives and structured products), trading, deal structuring or risk management is desired.
• Experience with Asset Liability Management (ALM) or Counterparty Valuation Adjustment (CVA) is a plus.
• Experience with SPAN/clearing/margin models is a plus.
• Personal characteristics should include: presentation, consulting, project management, client, and training / mentoring skills; strong presence, good communication and interpersonal skills; conceptual and quantitative depth in valuation methodologies and concepts and underlying markets and models.
• Ability to explain difficult financial modeling/valuation concepts to diverse audiences and to experts at various clients.
• Related consulting experience is a plus.