Quantitative Risk Graduate Scheme at npower

Where: England - multiple

Deadline: November 11, 2018

Type: Graduate

About the Company:

Main business: Energy and utilities

npower is one of Britain’s leading energy companies, and is part of the Innogy group, one of Europe’s leading electricity and gas companies.

About the Role:

Creating exceptional value products and services is what we do best here at npower. To do this, we manage hundreds of millions of pounds of financial risks each year; so, risk is a key focus for the business.

Over the course of 18 months, our expert training and support will help you become a specialist quantitative analyst. What’s more, you’ll learn to harness cutting-edge modelling techniques that will enable you to develop innovative solutions to the risks we face in the energy industry. Devising methods to tackle market, derivative, credit or operational risks will all be part of your role. You’ll also touch on pricing and setting trading limits, as well as designing and valuing transactions, like exotic hedges and sales.

Over 18 months, you will explore different placements such as:

  • Structuring and valuation of risks in sales
  • Structuring and valuation of risks in hedge transactions
  • Portfolio risk modelling Risk controlling

Your placements will give you the opportunity to apply all your academic understanding of Quantitative Finance to real situations and take on real commercial issues. Also, the Scheme will provide you with a wealth of experience and you’ll be presenting your findings to senior management from the moment you start.

Requirements:

As a graduate on our Quantitative Risk Scheme, you will:

  • Have strong analytical ability; able to grasp the detail and appreciate the wider context whilst making energy simple for our customers
  • Demonstrate the confidence to make risk-based decisions and apply logical reasoning to solve complex problems. with imperfect information
  • Display willingness and confidence to meaningfully engage with stakeholders
  • Evidence a keen interest in analysing and interpreting numerical data.
  • Identify how prioritisation of work, speed of thought and commerciality are essential to this Scheme.

You will require a Master's degree (or higher) related to Maths Finance (including Finance Modelling).

How to Apply:

For more information and to apply please visit Career Connect and search Reference ID 'YKM4V'