Structured Trading Analyst

Smartest Energy

Flexibility is vital to success in our business and many of our staff work flexibly in many different ways, including part-time, 4 days @ 80% salary and compressed hours. Don't let anything stop you from applying.

Posted 1 month ago

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The future of energy is digitised, decarbonised and localised. At Smartest Energy, we need revolutionary thinkers to help our customers make the most of this new landscape, thinking differently to find smart solutions to complex problems.

Formed in 2001, we’re an agile business driven by entrepreneurial thinking. As a subsidiary of the Marubeni Corporation, we also have strong investment and infrastructure behind us. We have three offices in the UK, one in the US and another in Australia. Further expansion is planned for 2022 and beyond which means global career opportunities for you, with plenty of potential to explore new markets.

Flexibility is vital to success in our business and many of our staff work flexibly in many different ways, including part-time, compressed hours, remotely or a mix of remote/office. Please talk to us about what flexibility means to you and don’t let anything stop you from applying.

When you join our Team, you will have the opportunity to contribute and make an impact every single day.

Overview

You will be responsible for developing and maintaining quantitative models required to value a range of structured trading arrangements (vanilla options, interconnectors, storage, physical tolls, physical optimisation etc.).

You will also be expected to deliver modelling and analysis as required to support wider Trading team.

In this role, you will be involved with the following:

  • At least 5+ years experience of quantitative modelling in an energy trading environment, ideally with experience in short-term power markets;
  • Graduate in a quantitative discipline (e.g. mathematics, science, engineering, etc.). Masters or PhD level qualification in a relevant subject would be desirable;
  • Proven track record of model development in a commercial environment;
  • Substantial expertise in Python programming language plus third-party libraries including numpy, scipy, pandas and scikit-learn is essential;
  • Good understanding of mathematical finance including stochastic calculus and probability theory, plus associated numerical methods for their practical implementation;
  • Proven strong technical skills in manipulation, extraction and analysis of large data sets;
  • Fundamental understanding of statistics, optimisation and machine learning models;
  • Practical knowledge of software development practices;
  • Have excellent communication skills - verbal, written and listening;
  • Strong commercial mindset in the context of the contracts that are being modelled;

To be successful in this role, you are likely to have the following skills/experience:

  • At least 5+ years experience of quantitative modelling in an energy trading environment, ideally with experience in short-term power markets.
  • Graduate in a quantitative discipline (e.g. mathematics, science, engineering, etc.). Masters or PhD level qualification in a relevant subject would be desirable.
  • Proven track record of model development in a commercial environment
  • Substantial expertise in Python programming language plus third-party libraries including numpy, scipy, pandas and scikit-learn is essential.
  • Good understanding of mathematical finance including stochastic calculus and probability theory, plus associated numerical methods for their practical implementation.
  • Proven strong technical skills in manipulation, extraction and analysis of large data sets
  • Fundamental understanding of statistics, optimisation and machine learning models
  • Practical knowledge of software development practices
  • Have excellent communication skills - verbal, written and listening
  • Strong commercial mindset in the context of the contracts that are being modelled
  • Strong analytical and problem solving abilities
  • Ability to present technical complexities to non-technical audience
  • Strong interpersonal skills and the ability to build strong and lasting business relationships

What else do we offer?

  • The opportunity to work from anywhere in the world for 30 days per year;
  • A genuine commitment to smarter working – we recognise your work/life balance matters;
  • Paid time off to volunteer in your community;
  • Excellent benefits package including private medical insurance/dental cover and non-contributory pension from month three;

Diversity

Celebrating our inclusive and diverse culture is core to what we do. We value everybody irrespective of background, disability, religion, gender identity, sexuality or ethnicity.

We know that for our business to thrive we need diverse talent with a range of backgrounds, skills and capabilities in each of the countries in which we operate. We view diversity as one of the key enablers that helps our business to grow.

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Apply for job
UK only

If you're not eligible to work from the UK, you'll be automatically rejected

Smartest Energysmartestenergy.com

A next generation energy company, driving a smarter transition to a net-zero future

Our Working Week

Flexibility is vital to success in our business and many of our staff work flexibly in many different ways, including part-time, 4 days @ 80% salary and compressed hours. Don't let anything stop you from applying.

Our 4 day week = any day off

Our Vacation Policy

We offer 25 days PTO for a full-time 5 day week plus public holidays. Our vacation policy is pro-rata'd based on your working hours.

  • 30 days PTO
  • 52 unpaid days
  • 82 days off per year

Our Remote Working Policy

Flexibility is vital to success in our business and many of our staff work flexibly in many different ways including 100% remotely or a mix of remote/office. Please talk to us about what flexibility means to you and don’t let anything stop you from applying.

Our Employee Benefits

  • Health insurance
  • Pension 7% contribution
  • Flexible working hours
  • Dentalcare
  • Work abroad for 30 days / year
  • Equipment allowance

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