Quantitative Analyst at Centrica
London SW7 1JP, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Mar, 25

Salary

0.0

Posted On

28 Jan, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

JOIN US, BE PART OF MORE.

We’re so much more than an energy company. We’re a family of brands revolutionising how we power the planet. We’re energisers. One team of 21,000 colleagues that’s energising a greener, fairer future by creating an energy system that doesn’t rely on fossil fuels, whilst living our powerful commitment to igniting positive change in our communities. Here, you can find more purpose, more passion and more potential. That’s why working here is #MoreThanACareer. We do energy differently – we do it all. We make it, store it, move it, sell it and mend it.

Responsibilities

The Quantitative Analytics team at Centrica Energy is part of the Trading Analytics and Algorithms centre of excellence, and is responsible for:

  • Delivering quantitative analysis of complex and structured products, that provides insight to help traders to maximise value and manage risk
  • Designing and implementing complex mathematical models that allow for consistent pricing and joint risk quantification across multiple portfolios, enabling more holistic and optimal hedging decisions
  • Assisting originators in development of structured products across the Renewables, LNG, Gas & Power sectors.

As a Quantitative Analyst, you will become part of an agile team of c10 people located across our offices in both London (UK) and Aalborg (Denmark).

The successful candidate will be required to:

  • Produce high quality increments to the team’s model library working both individually and collaboratively
  • Assist/advise trading and origination via quantitative analysis and a strong mathematical/financial intuition
  • Leverage the teams cross-asset expertise to connect business locations, helping to identify synergies and increase efficiency.
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