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Quantitative Analyst

Michael Page Technology

Posted on Jan 6, 2023 by Michael Page Technology

London, United Kingdom
Oil & Gas
Immediate Start
Annual Salary
Contract/Project

  • Perform efficient and effective validation of internal and third-party models.
  • Work closely with model users & developers to support and guide best practice for the mitigation of model risk within T&S.

Client Details

A leading Oil and Gas company.

Description

  • Perform efficient and effective validation of internal and third-party models.
  • Provide technical advice to commercial and control functions on the representation, valuation and risk measurement of deals involving optionality and/or illiquid assets.
  • Work closely with model users & developers to support and guide best practice for the mitigation of model risk within T&S.
  • Implement cross-commodity derivative valuation frameworks in bp's proprietary risk quantitative library, including new algorithms for stochastic process simulation, stochastic dynamical program solvers and calibration methodologies.
  • Employ modern software development practices for maintaining model correctness and performance.
  • Supervise and coach less experienced analysts in the team.

Profile

Practical experience of:

  1. Financial derivatives valuation methodologies and the fundamentals of trading including familiarity with financial instruments and physical assets.
  2. Stochastic calculus, probability theory and Levy processes, and associated numerical methods for their practical implementation, including advanced Monte Carlo methods, transform techniques and PDEs. To include local and stochastic volatility, jump and regime-switching models.
  3. Dependency modelling, including copulas, cointegration and local correlation approaches.
  4. Pricing in illiquid, incomplete markets. To include utility function-based approaches.
  5. Optimization, stochastic control, stochastic dynamical programming and numerical linear algebra.
  6. Implementing advanced numerical algorithms.
  7. Practical methods of estimating computational complexity and expected algorithm performance.
  8. C++ 17 and Python 3 programming languages, plus third-party libraries, including Boost, MKL, pybind11, NumPy and Pandas.
  • Good knowledge of US, UK and European Natural Gas markets, power, crude oil and refined products, LNG, environmental products and FX.
  • Lead initiatives, influence and participate in decisions and collaborate effectively with commercial and functional partners.
  • Undergraduate degree, plus PhD or MSc degree in a quantitative subject area, (eg physics, mathematics, electrical engineering or mathematical finance).

Job Offer

6 month contract.

Hybrid working.

Impressive day rate.

Reference: 1847306553

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