Quantitative Analyst - Model Validation - - Bonhill Partners

eFinancialCareers

City Of London

On-site

GBP 129,000 - 138,000

Full time

9 days ago

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Job summary

eFinancialCareers is seeking an experienced Model Validation Quant to join our investment banking team in London. The role requires a strong quantitative background, cross-asset derivatives experience and solid derivatives pricing knowledge, with the ability to independently challenge complex pricing and XVA models.

Rate: £700-£750 per day inside IR35 on a 6-month rolling contract. Strong programming in Python or C++ is needed; candidates with XVA, derivatives pricing or model validation

Qualifications

  • Experience in quantitative model validation, model development or quantitative analytics.
  • Strong understanding of XVA methodologies, including CVA, DVA and FVA.
  • Cross-asset derivatives exposure across Rates, FX, Credit, Equity and/or Commodities.
  • Knowledge of derivatives pricing models, calibration techniques and Monte Carlo simulation.
  • Understanding of counterparty credit risk and exposure modelling.
  • Strong programming skills in Python, C++ or similar languages.

Skills

Quantitative analysis
Cross-asset derivatives
Derivatives pricing
Programming (Python/C++)

Tools

Python
C++

Job description

We are currently seeking an experiencedModel Validation Quant to join an investment banking team.

The ideal candidate will have a strong quantitative background,cross-asset derivatives experience and solid derivatives pricing knowledge, with the ability to independently assess and challenge complex pricing and XVA models.

Key requirements:
  1. Experience in quantitative model validation, model development or quantitative analytics.
  2. Strong understanding of XVA methodologies, including CVA, DVA and FVA.
  3. Cross-asset derivatives exposure across Rates, FX, Credit, Equity and/or Commodities.
  4. Knowledge of derivatives pricing models, calibration techniques and Monte Carlo simulation.
  5. Understanding of counterparty credit risk and exposure modelling.
  6. Strong programming skills in Python, C++ or similar languages.
  7. Candidates fromXVA, derivatives pricing or quantitative model validation backgrounds are encouraged to apply.
Preferred Qualifications:
  1. Experience with risk engines and financial libraries.
  2. Familiarity with regulatory reporting tools and processes.
  3. Knowledge of machine learning techniques applied to model validation.
  4. Exposure to cloud-based computation and big data analytics.

This will be a 6 months rolling contract.

Rate: £700 - £750/day (Inside IR35)

We look forward to hearing from you!

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