Senior Assistant, Valuation and Analytics Advisory

Key Responsibilities

• Support clients through complex valuation, financial analysis, and advisory matters.
• Contribute to analyses used in strategic decision-making, financial reporting, transactions, and other business-critical situations.
• Work on independent pricing of financial instruments.
• Build and execute data analytics to support audit objectives.
• Utilize vendor data and tools such as Capital IQ, Refinitive Eikon, Markit, Superderivatives, FinMechanics.
• Serve as a team member on engagements, executing valuation and modeling projects.
• Document modeling methodologies and results.
• Prepare audit documentation of valuations.
• Collaborate with audit teams across companies of all sizes and multiple industries.
• Handle price challenges from audit teams.
• Explain complex financial modeling/valuation concepts to diverse audiences and client experts.
• Build and manage relationships and communications with audit team members.

Requirements & Tech Stack

• Graduation in Financial Engineering, Quantitative Finance, BE/BTech, MBA(Finance), or Statistics.
• CFA / FRM Required.
• Exposure to:
• Derivatives
• Fixed Income instruments
• Private Debt
• MBS, ABS, CLOs
• Energy & Commodities
• Probability
• Statistics
• Risk management
• Familiarity with analytical and visualization software packages/tools/languages:
• Python
• SAS
• R
• SQL
• Power BI
• Visual Basic

Qualifications (Preferred)

• Strong undergraduates with engineering/ mathematics and statistics background and/or relevant work experience in financial services and capital markets.
• Background in probability and statistics with CFA/FRM/PRM.
• Background in financial derivatives, structured products, and energy and commodities, including detailed knowledge of valuation models and techniques.
• Experience handling large datasets for interest rates, Fx, credit, and equity from different market vendors.
• 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
• Background in mathematical finance at the Master's level in Mathematical Finance, Mathematics of Finance, Financial Engineering, or Quantitative Finance.
• Experience with programming languages including SAS, Python, and R.
• Familiarity with financial markets, financial instrument valuation (including derivatives and structured products), trading, deal structuring, or risk management.
• Experience with Asset Liability Management (ALM) or Counterparty Valuation Adjustment (CVA).
• Experience with SPAN/clearing/margin models.