Shell Global - Hiring for Model Validation Analyst - Market Risk, Apply by Nov 23ʳᵈ 2022
Overview :
Shell Global is hiring for the position of Model Validation Analyst-Market Risk!
Responsibilities :
- Drive understanding of the design and utilization of methodologies to assess the risk/reward of the portfolio, including VaR back-testing, stress testing, scenario analysis, and liquidity analysis.
- Develop, test, run and validate quantitative models that simulate real-world businesses and assets.
- Work closely with the Valuation and Quantitative Analytics teams to understand and model embedded physical optionality and how optimization of physical portfolios changes exposures.
- Understand and explain changes in VaR by breaking down the impact by its underlying drivers, and ensuring that the VaR accurately reflects the positions taken and volatility of the relevant market.
- Design testing and validation regimes for VaR models to ensure that they are as accurate as possible and that any underlying assumptions or inaccuracies are documented and explainable.
- Ensure that fair economic value principles are followed within models used by Risk, including providing modeling support and challenging stakeholders on valuation inputs and parameters.
- Ensure that all exposures generated from modelled positions or assets are fully understood and that these exposures and resultant P&L are properly evaluated, validated and analysed.
- Produce ad-hoc analysis to explain P&L or exposure changes generated by the models to Risk Managers, and assist them with queries and requests for input data or parameter changes.
- Provide detailed analysis and documentation of methods, techniques, and findings
- Ensure that error-checking is a natural part of all processes so the output is ‘Right First Time
- Solve real-world business problems using quantitative and computational techniques
- Investigate and manage large data sets, ensuring consistency and quality
- Build tools to enable the data to be easily accessed by analysts across Risk, SQL and Python are the preferred languages for accessing and manipulating datasets within Shell
- Promote a culture of continuous improvement by having the courage to challenge established processes
Requirements :
- Degree in Business, Economics, Mathematics, Science, Engineering, or IT; or relevant work experience in the energy trading industry
- Experience within a trading, financial or risk management organization, including an understanding of financial modeling
- Understanding of financial, commodity, and energy markets; derivative instruments, and hedging
- Experience in scripting languages that enable data gathering and transformation such as Python or R. Other scripting languages such as C#, Java, and Matlab also considered
- Experience writing code to retrieve datasets from structured databases using SQL/Oracle
- Intermediate to Advanced Excel skills; such as pivot tables, lookups, and VBA macros
- Experience with Endur, DEX, or comparable energy trading risk management systems is preferable
- Reliable, dependable, and disciplined
- Excellent attention to detail, methodical, organized
Job location :
Bengaluru