Job type :
Centrica Energy Marketing and Trading's (EM&T's) Risk Department provides a risk management capability to support commodity trading activities and origination.
Within this department, the job holder will provide a flexible, business focused service to help assess risk, validate models and value complex transactions, advising on quantitative and modelling issues as required.
The Job role :
Advise upon, and contribute to, ongoing model development for valuation and risk measurement, carrying out reviews and validation of models to help ensure best practice is followed;
including directly contributing to the design and construction of Risk models if required
Undertake high quality assessments of a wide range of potential complex transactions, carrying out modelling and analysis as necessary, advising upon the value and risk-
related quantitative issues associated with the proposals and, where necessary, providing constructive challenge to help ensure the proposals are robust
Assess and advise on quantitative risk-related aspects of commercial issues as required and facilitate ongoing development of Centrica risk control capability
Work effectively with other team members in EM&T Risk, with EM&T quantitative analysts and originators and with other Centrica teams
Communicate the results of analyses clearly, including to senior management, in a way which adds significant value to business decisions
Play an important part in the work of the Risk Department and make a significant contribution to Centrica’s capabilities in this area.
The role is seen as an excellent opportunity to gain experience of a variety of significant business and quantitative issues across different areas.
This, together with the opportunity for exposure to senior management, will help to provide an excellent platform for possible longer term career development within one of the UK’s leading energy companies.
The Person :
A strong, degree- level educational background in a highly quantitative subject : (for example, mathematics, quantitative finance, operational research, science, engineering).
Masters or PhD level qualifications in a relevant subject are highly desirable
A good understanding of quantitative finance and related risk issues including derivative principles, option valuation, probability and statistics;
coupled with a strong practical, and business focussed, approach to modelling, valuation and risk management
Strong model validation experience in a trading environment and the ability to review and validate complex models
Strong skills related to modelling and related programming (e.g. including model development experience; exposure to Python or similar and VBA) and the ability to build complex models
A good understanding of, or a keen interest and desire to learn about, energy markets is essential; experience in a high calibre energy-
related trading environment would be highly desirable
Ability to communicate complex issues in a clear, understandable manner with the front office quants team, traders, originators, asset developers, finance, Risk and other teams
Ability to work under pressure and to tight deadlines in a trading-related Risk environment
High attention to detail in both numerical analysis and written work
Strong team working and influencing skills
The ability to objectively and constructively challenge proposals for new modelling and transactions, whilst maintaining good working relationships
Strong appetite for practical and high quality problem solving in a fast-moving commercial environment.