- Deep understanding of derivatives and empirical asset pricing theory (Black-Scholes framework, stochastic calculus, jump diffusion etc.) and independently able to validate pricing, market risk models and the underlying concepts
- Deep understanding of Mathematics and statistics in terms of linear algebra, probability theory, stochastic calculus
- Understanding of VaR, modelling of VaR using monte-carlo simulation, historical and parametric approach and VaR backtesting
- Understanding of interest rate curve construction, modelling interest rates, calibration of interest rate models (CIR, HJM, LMM, HW etc.)
- Understanding of Volatility Models (Vanna-Volga, Local Volatility models, stochastic volatility models like SABR, Heston)
- Independently able to price derivative instruments of vanilla (swaps, European options, CDS) and exotic payoff structures (Bermudan swaptions, Equity linked notes, MBS etc.) using analytical, simulation, trees etc.
- Understanding of counterparty risk - CVA, DVA, FVA (using analytical and simulation approach) including backtesting of CCR models (Risk factor distribution and correlation backtesting).
- Understanding of quantitative methods like bootstrapping, numerical simulation, trees and their application in quantitative finance
- Understanding different components of market risk and development/validation of risk models and pricing models.
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