Quantitative Analyst
at Centrica
London SW7 1JP, , United Kingdom -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 27 Apr, 2025 | Not Specified | 28 Jan, 2025 | N/A | Good communication skills | 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:
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.
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Other
Graduate
Science mathematics or other quantitative subject
Proficient
1
London SW7 1JP, United Kingdom