Senior - USI Audit Analytics Specialist FTH Job in Bangalore at Deloitte

Deloitte is hiring for the role of Senior - USI Audit  Analytics Specialist FTH!

Responsibilities of the Candidate:

• 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, Definitive 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 experts at various clients
• Responsible for building and managing relationships and communications with audit team members.

Requirements:

• Qualification: Financial Engineering/ Quantitative Finance/ BE/ BTech/ MBA(Finance)/ Statistics
• Strong undergraduates with an engineering, mathematics, and statistics background and/or relevant work experience in financial services and capital markets would be considered. Additionally, candidates with a background in probability and statistics with CFA, FRM, or PRM would be preferred.
• Background in financial derivatives, structured products, and energy and commodities, including detailed knowledge of valuation models and techniques, is a plus.
• Experience handling large data sets 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 Refinitiv, 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 degree in Mathematical Finance, Mathematics of Finance, Financial Engineering, or Quantitative Finance is a strong plus.
• Experience with programming languages 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.