Natural Gas and Power Trading Risk Management Analyst

Houston, MS - USA

Monthly Salary: Not Disclosed

Posted on: 8 days ago

Vacancies: 1 Vacancy

Job Summary

At Repsol we are committed to equality and do not request personal information.

We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally develop your career with challenging projects and collaborate with talented people worldwide. As a company committed to diversity and inclusion we encourage all professionals who meet the job description requirements to apply.

Repsol is a global energy company present throughout the whole energy value chain. The company employs more than 25000 people and its products are sold in more than 90 countries reaching 10 million customers. Repsol is a producer of natural gas and crude oil and has one of the most efficient refining systems in Europe. Repsol also operates low-emissions power generation assets such as photovoltaic and wind power projects.

The Risk Management Analyst monitors and interprets measures of economic performance as well as market risks with respect to Repsols North American Natural Gas and Power trading activities. This role is also responsible for market analysis developing valuation models and short- and long-term position monitoring. This role is strongly recommended for an analytical individual with a solid interest in both physical and financial gas and power trading and the desire to grow in a commodity trading environment. The successful candidate is a proactive individual with high analytical capabilities and a hands-on personality.

Responsibilities

The Risk Management Analyst will be primarily responsible for and contribute to:

Generating timely and accurate daily and end-of-month P&L along with market risk exposure reports.
Prepare and communicate daily market briefs to the Risk organization.
Support the execution of trade controls and engage with traders on market risk and valuation changes of physical and derivatives trading positions.
Assist in the development maintenance and enhancement of valuation models for structured products and exotic derivatives utilizing techniques such as Least Squares Monte Carlo (LSMC) in R/Python.
Support the implementation and maintenance of quantitative risk models including Monte Carlo VaR stress testing scenario analysis and dynamic volatility forecasting (GARCH EWMA) using R/Python.
Perform VaR backtesting and model validation documenting findings for model improvement
Support the review of contracts and engage with traders to ensure accurate risk capture and valuation of trades in the ETRM system.
Communication and dialogue with other business areas (Front Office Back Office Process Support Accounting Corporate Risk Contracts).

Required Qualifications

The legal authorization to work in the US for any US employer.
Bachelors degree or higher in an analytical and numerical subject preferably in Mathematics Engineering Finance Computer Science or Quantitative Finance.
Strong quantitative and analytical foundation with exposure to stochastic modeling Monte Carlo simulation time series analysis and derivatives pricing concepts.
Experience in an energy-commodities trading environment i.e. understanding of market risk concepts is a plus.
Excellent ability to gather analyze and synthesize information.
Strong analytical problem solving and data analysis skills with attention to detail.
Proficiency with R and/or Python for quantitative analysis including familiarity with libraries such as NumPy SciPy Pandas statsmodels (GARCH/time series) scikit-learn (machine learning) and quantitative finance packages.
Proficiency with MS Excel VBA SQL and Tableau.
Proficiency in English. Spanish is a plus.

Desired Qualifications

Experience with ETRM systems (ideally Allegro) and with quantitative risk tools.
Experience in risk modeling/developing risk models/analyzing structured transactions.
Exposure to real option valuation techniques (e.g. Least Squares Monte Carlo) for valuing structured products such as gas storage tolling agreements and swing options.
Knowledge of VaR methodologies and model validation including backtesting techniques.
Experience with volatility forecasting models such as GARCH EGARCH or exponentially weighted moving average (EWMA) techniques.
Knowledge of energy market fundamentals including gas and power forward curves volatility surfaces and correlation structures.

Repsol is an Equal Opportunity Employer M/F/Disability/Veteran

#LI-KT1

Required Experience:

At Repsol we are committed to equality and do not request personal information.We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here what counts is your experience and your ability to create ...

At Repsol we are committed to equality and do not request personal information.

We believe that diversity contributes to innovative ideas and provides added value that enables us to benefit from mutual learning and perform our best work. Here what counts is your experience and your ability to create value. We offer you the opportunity to grow professionally develop your career with challenging projects and collaborate with talented people worldwide. As a company committed to diversity and inclusion we encourage all professionals who meet the job description requirements to apply.

Responsibilities

The Risk Management Analyst will be primarily responsible for and contribute to:

Generating timely and accurate daily and end-of-month P&L along with market risk exposure reports.
Prepare and communicate daily market briefs to the Risk organization.
Support the execution of trade controls and engage with traders on market risk and valuation changes of physical and derivatives trading positions.
Assist in the development maintenance and enhancement of valuation models for structured products and exotic derivatives utilizing techniques such as Least Squares Monte Carlo (LSMC) in R/Python.
Support the implementation and maintenance of quantitative risk models including Monte Carlo VaR stress testing scenario analysis and dynamic volatility forecasting (GARCH EWMA) using R/Python.
Perform VaR backtesting and model validation documenting findings for model improvement
Support the review of contracts and engage with traders to ensure accurate risk capture and valuation of trades in the ETRM system.
Communication and dialogue with other business areas (Front Office Back Office Process Support Accounting Corporate Risk Contracts).

Required Qualifications

The legal authorization to work in the US for any US employer.
Bachelors degree or higher in an analytical and numerical subject preferably in Mathematics Engineering Finance Computer Science or Quantitative Finance.
Strong quantitative and analytical foundation with exposure to stochastic modeling Monte Carlo simulation time series analysis and derivatives pricing concepts.
Experience in an energy-commodities trading environment i.e. understanding of market risk concepts is a plus.
Excellent ability to gather analyze and synthesize information.
Strong analytical problem solving and data analysis skills with attention to detail.
Proficiency with R and/or Python for quantitative analysis including familiarity with libraries such as NumPy SciPy Pandas statsmodels (GARCH/time series) scikit-learn (machine learning) and quantitative finance packages.
Proficiency with MS Excel VBA SQL and Tableau.
Proficiency in English. Spanish is a plus.

Desired Qualifications

Experience with ETRM systems (ideally Allegro) and with quantitative risk tools.
Experience in risk modeling/developing risk models/analyzing structured transactions.
Exposure to real option valuation techniques (e.g. Least Squares Monte Carlo) for valuing structured products such as gas storage tolling agreements and swing options.
Knowledge of VaR methodologies and model validation including backtesting techniques.
Experience with volatility forecasting models such as GARCH EGARCH or exponentially weighted moving average (EWMA) techniques.
Knowledge of energy market fundamentals including gas and power forward curves volatility surfaces and correlation structures.

Repsol is an Equal Opportunity Employer M/F/Disability/Veteran

#LI-KT1

Required Experience:

Key Skills

ISO 27001
Microsoft Access
Risk Management
Financial Services
PCI
Risk Analysis
Analysis Skills
COBIT
NIST Standards
SOX
Information Security
Data Analysis Skills

Apply Now

About Company

Repsol

En Repsol trabajamos para transformar la energía para acercarla a las personas y creemos en la innovación tecnológica para afrontar el presente y el futuro.

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click