Lead Quantitative Risk Modeler
at ExxonMobil
Singapore, Southeast, Singapore -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 21 Nov, 2024 | Not Specified | 22 Aug, 2024 | 5 year(s) or above | Statistics,Mathematics,Working Experience,Dynamic Programming,Computer Science,Fundamentals,Finance,Natural Gas,Economics,Carbon Markets,Tableau,Refined Products,Matlab,Programming Languages,Sql,Risk Analysis,Trading Strategies,R,Quantitative Risk,Python | No | No |
Required Visa Status:
Citizen | GC |
US Citizen | Student Visa |
H1B | CPT |
OPT | H4 Spouse of H1B |
GC Green Card |
Employment Type:
Full Time | Part Time |
Permanent | Independent - 1099 |
Contract – W2 | C2H Independent |
C2H W2 | Contract – Corp 2 Corp |
Contract to Hire – Corp 2 Corp |
Description:
ABOUT US
At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.
The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.
We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.
SKILLS AND QUALIFICATIONS
We are looking for someone who has a strong Quantitative / Risk Management background and has the following qualifications:
- Advanced degree (Master’s, MBA, or Ph.D.) in Finance, Economics, Statistics, Mathematics, Engineering, Computer Science or other STEM majors.
- 5-15 years working experience in Energy Quantitative Risk, Structuring, or Risk Analysis in Energy Commodities and Marketing: crude oil, refined products, power, natural gas, LNG, renewables, environmental products etc.
- Solid understanding of option theory (Option Greeks etc.), Monte Carlo simulation techniques (i.e., PCA) and mathematical optimization methods (i.e., Dynamic Programming).
- Proficiency in Python, R, MATLAB, or other programming languages. Additionally, programming in SQL.
- Knowledge of global/domestic energy and carbon markets, including fundamentals, origination and deal structuring, trading strategies and related risk management standards and best practices.
- Credit Risk Modeling experience is a plus.
Preferred Qualifications/ Experience:
Familiarity with energy commodities ETRM systems (i.e., Endur, Allegro etc.) and experience with Tableau or comparable Analytics platforms is a plus.
Responsibilities:
WHAT ROLE YOU WILL PLAY IN OUR TEAM
We are looking for qualified and highly experienced individuals with strong credentials to support and advance ExxonMobil’s Risk Management function. A member of the Quantitative Risk team which is part of the Trading Risk & Compliance organization, the successful candidate will help support ExxonMobil’s Upstream Gas & Power as well as Downstream Crude & Products trading activities. The position is based in Singapore at the ExxonMobil offices.
WHAT YOU WILL DO
- Maintain, analyze, and help validate Value at Risk (VaR) models capable of handling complex transactions and assets modelling. Assess existing models and ensure that they are “fit for purpose”.
- Develop, validate, maintain and support risk management models for Trading Strategies, Risk Management, Real Options Valuation, and Simulation of Forward Curves.
- Conduct quantitative analysis of structured deals to support market-based asset valuations and design hedging strategies.
- Apply advanced statistical analysis into the design, analysis, implementation, and refinement of scenario analysis and stress test methodologies and tools.
- Model and estimate volatilities and correlations, both historical and implied.
- Provide recommendations for improvement and enhancement of risk management models
- Effectively communicate recommendations on complex topics to a variety of constituents, including Management, Traders, Originators and Risk Management.
- Work on Quantitative Analysis topics as required based on evolving needs of this dynamic risk organization.
REQUIREMENT SUMMARY
Min:5.0Max:15.0 year(s)
Financial Services
Accounts / Finance / Tax / CS / Audit
Finance
Graduate
Finance economics statistics mathematics engineering computer science or other stem majors
Proficient
1
Singapore, Singapore