Financial Modeling
Quantitative modeling, automation, and machine learning (ML) are powerful tools for you and your institute to make better business decisions.
Our experience with over a hundred financial models in risk management and investment strategies can help you develop, validate, and audit your models.
Depending upon your unique needs, we can offer you such tools in a holistic process that can include:
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Objective definition
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Data collection and preprocessing
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Model selections
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Feature explanation
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Bias and variance trade-off
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Performance monitoring
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Risk and limitation communication
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Model output translation into business usage and strategy
Expertize in ...
Asset and Liability Management
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Interest rate term structure
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(Libor, OIS, and SOFR)
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Derivative pricing
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Prepayment
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Income simulation
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Pre-trade and guidelines
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Risk measurement
Credit Risk Management
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Credit rating scorecard
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Probability of default
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Loss given default
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CECL
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Counter-party risk
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Collateral valuation & haircut
Investment Management
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Structured products
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Security valuation
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Security lending
Stress Test
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Basel
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FRTB
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CCAR
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CMAST