Market Risk Quantitative Analytics Consultant (Contract)

LevelUP HCS
London
1 day ago
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Risk Analytics – Equity market risk quantitative analyst

Our investment banking client is seeking an experienced quantitative analyst / risk modeler with 5 - 8 years of financial industry experience to join the Quantitative Risk team. Focus of this position is on Market Risk modeling for equity derivatives products.

Core Responsibilities:

  • Acting as the SME and liaising with front office, technology, and market risk managers to implement and maintain market risk models. Making key analytical decisions regarding market risk modelling for Equity derivatives positions traded in Europe and Asia.
  • Assessing appropriateness of the market risk model outputs by performing time series review and stationarity test, Basel traffic light backtesting and VaR breaches explanation, P&L attribution test, pricing model benchmark, and quantification of the materiality of any model limitations (e.g. RNIV).
  • Documenting model implementation details, tests, and findings for model validation to review, in accordance with Firm’s Model Risk Management policies and framework.

Qualifications:

  • Strong background in market risk models and methodologies (e.g. time series analysis, VaR methodologies and backtesting), with 5 - 8 years of previous experience in a quantitative role at a financial institution.
  • Good understanding of equity pricing models and products.
  • Strong programing skills and data handling skills in SQL and Python (ability to wrangle large data sets, implement statistical tests, and perform data analysis on test results).
  • Excellent communication and presentation skills (ability to engage in concise, effective discussions).
  • Excellent written skills (ability to produce well-structured technical model documentation).
  • Ability to work without significant direct supervision.
  • Previous experience of regulatory capital model & economic capital model is preferred.
  • Knowledge of Numerix and/or Bloomberg a plus.

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