Quantitative Analyst

2 weeks ago

London, United Kingdom Advantage Resourcing Full time

Power Quantitative Analyst
- 12 months
- Up to £850 per day via umbrella company
- Waterloo, London

Please note this role will be working within inside of IR35 therefore will be via PAYE or Umbrella company. Rates of pay are up to £850 per day via umbrella company for 12 months.

The Deal Structuring and Quant Analytics team is looking for a Power Quantitative Analyst to join the Deal Structuring Power team. You will be a member of a team of structurers and quantitative analysts focusing on analytics for structured power transactionsand work on in-house pricing and hedging

models and collaborate with the technology team to enable the business to effectively use proprietary internal technologies.

As a Quantitative Analyst, you will:

- Support the Deal Structuring Power team any data analysis needs and collaborate with central quant analytics team to develop and extend pricing and hedging models and tools for structured power transactions, including PPAs, CCGTs and Battery valuations.
- Support quant analytics in designing, building, testing, and deploying models and tools enabling derivatives pricing and hedging and quantitative research at scale
- Demonstrate software best practices among quantitative analysts and support the continuity and maintainability of multi-stakeholder repositories
- Contribute to SE-EA's central quant analytics libraries and support the upskilling of the quantitative toolkit across products

Experiences:

- Advanced degree in a quantitative field: Mathematics, Engineering, Science or Operations Research
- Experience in front office work experience in energy trading with focus on power markets
- Experience designing and building software tools, including visualization, supporting one or more of the following: quantitative analysis, fundamental analysis, financial trading or pricing and hedging
- Solid understanding of power markets, fundamentals, and their derivatives products, as well as modelling, pricing, and hedging practices
- Strong knowledge of advanced numerical (e.g., Monte Carlo, finite difference), and optimization methods (e.g., for complex engineering or physical systems) for pricing and hedging energy derivatives
- Strong coding skills in Python with proficiency in common libraries for data science, such as NumPy, Pandas, scikit-learn
- Keen commercial acumen and enjoy the challenge of working in a customer focused, fast paced and rapidly evolving business
- Strong written and verbal communication skills
- Work autonomously on projects, manage time efficiently and deliver in a timely fashion
- Present experience driving forward with initiatives and projects
- Additional & advantageous qualifications:

- Working knowledge of core concepts and methods in computational statistics, predictive modelling, or machine learning
- Familiar with software design patterns, modern technology stacks or DevOps tools (e.g., Azure, GitHub) is highly desirable

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