Are you a seasoned analytics professional with a passion for complex financial modeling and risk management?
Our client, a leading firm in the industry, is seeking an exceptional Director of Analytics to lead their Quantitative Analytics Division.
About the Role:
As the Director of Analytics, you will spearhead our client’s quantitative analytics efforts, driving innovation and excellence in financial modeling, risk assessment, and strategic decision-making.
Additionally, you will play a vital role in driving growth by developing models that look to maximise the success of their renewable energy portfolio and deliver the most advantageous solutions for our customers – focusing on PPA and offtake valuations.
Key Responsibilities in the role:
- Collaborate with key stakeholders to design and implement quantitative frameworks for risk management and decision-making.
- Develop and build tools to analyse market data and identify opportunities to maximize profitability and manage risk across a huge portfolio of solar and battery storage assets.
- Leverage your expertise in machine learning and data analysis to optimise asset performance, pricing strategies, and customer solutions.
- Support the development of innovative commercial structures for renewable energy products.
- Own the pricing of offtake agreements and collaborate across departments to ensure successful project execution.
Key Experiences for Success in the Role:
- 5-7 years of experience in competitive energy markets, ideally with renewable assets and power trading experience.
- Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, or a related field.
- A strong understanding of financial mathematics, derivatives valuation, and power market structures (US markets preferred).
- High level of Experience within programming languages like Python, R, and SQL, with experience in quantitative applications.
- Excellent communication and interpersonal skills.
- Of course, a passion for renewable energy technology! (particularly solar and battery storage)