Assistant, Valuation and Analytics Advisory
Deloitte
Bengaluru, Karnataka, IndiaFresher1h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · B.Tech / B.E. or MBA / PGDM
- Must know
- Data analysisAuditingFinancial modelingBloomberg
- Nice to have
- ValuationStatisticsPython
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Auditing6%Data analysis3%Financial modeling1%Bloomberg1%of 100 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About the Role
Join Deloitte’s Audit & Assurance Valuation and Analytics team to support audit objectives through financial instrument pricing, valuation analysis, and data analytics. In this role, you will work with market data, valuation tools, and audit teams across industries to help assess complex instruments and document technical analyses. This opportunity offers exposure to valuation methodologies, structured products, and cross-functional collaboration in a dynamic professional environment.
Work You'll Do
As an Assistant, Valuation and Analytics Advisory in the Valuation and Analytics team, you will be responsible for:
- Serving as a team member for Valuation & Analytics practice, focusing 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.
- Serving as a team member on engagements including detailed execution of valuation and modeling projects and documentation of modeling methodologies and results.
- Preparing audit documentation of valuations.
- Collaborating with audit teams across companies of all sizes and across multiple industries.
- Handling price challenges from the audit team and explaining financial modeling/valuation concepts to diverse audiences and experts.
- Building and managing relationships and communications with audit team members.
Location
- Bangalore & Gurugram
Shift Timings
- 11 AM to 8 PM
- Night shifts may be needed during January and February
Duration of Engagement
- 6 months
Requirements & Tech Stack
- Financial Engineering/ Quantitative Finance/ BE/ BTech/ MBA(Finance)/ Statistics Required.
- 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.
- 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.
Qualifications
- Strong undergraduates with engineering/ mathematics and statistics background and/or relevant work experience in financial services and capital markets would be considered.
- 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 handling large data sets for Interest rates, Fx, Credit and Equity from different market vendors is 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 Asset Liability Management (ALM) or Counterparty Valuation Adjustment (CVA) is a plus.
- Experience with SPAN/clearing/margin models is a plus.