European Renewable Data Analyst

Posted 11 Hours Ago
Be an Early Applicant
London, Greater London, England
Mid level
Energy
The Role
The European Renewable Data Analyst is responsible for managing and developing reporting processes for weather, power, and renewable models in Europe. The role involves statistical analysis of complex datasets, improving power pricing models, and collaborating with trading teams on renewable analytical research.
Summary Generated by Built In

Castleton Commodities International (www.cci.com) is a leading commodity trading and investment firm. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. CCI focuses its activities on the markets it understands best, while constantly striving to expand its knowledge base and network of relationships to participate in new markets.

Position Overview:

CCI is hiring a quantitative analyst in London working across the weather and power groups. Candidates should have significant experience conducting statistical analysis of large power or weather datasets.  This is an excellent opportunity to collaborate closely with CCI’s trading teams and to build out CCI’s renewable analytical research platform in an entrepreneurial environment.

Responsibilities:

  • Manage and develop process to report numeric weather, power and renewable models for Europe.
  • Conduct statistical analysis to provide expected probability distribution of weather, power and renewable outcomes.
  • Research seasonal forecasting, ocean forecasting and climate prediction, manage the weather and climate data process and develop firm’s weather analytic tools.
  • Be a key contributor to efforts to
    • design, develop and continuously improve both fundamental supply and demand, and power pricing models, that support the desk’s trading decisions
    • support and improve the power desk’s extensive set of proprietary analytical tools
    • integrate new models within the power desk’s existing computer modeling infrastructure
  • Report on research and incorporate promising results into process and analytics.

Experience/Education:

  • Masters or PhD in Computer Science, Atmospheric Sciences with Computing, Statistics, Applied Mathematics or related field of study is essential.
  • High level of statistical analysis, ability to work with large complex data sets.
  • Prior experience utilising statistical software is required.
  • Strong analytical and communication skills.
  • Essential expertise in Python, R, and/or Matlab.

Employee Programs & Benefits:

CCI offers competitive benefits and programs to support our employees, their families and local communities. These include:

  • Competitive comprehensive medical, dental, retirement and life insurance benefits

  • Employee assistance & wellness programs

  • Parental and family leave policies

  • CCI in the Community: Each office has a Charity Committee and as a part of this program employees are allocated 2 days annually to volunteer at the selected charities.

  • Charitable contribution match program

  • Tuition assistance & reimbursement

  • Quarterly Innovation & Collaboration Awards

  • Employee discount program, including access to fitness facilities

  • Competitive paid time off

  • Continued learning opportunities

Visit  https://www.cci.com/careers/life-at-cci/# to learn more!

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Top Skills

Matlab
Python
R
The Company
HQ: Stamford, CT
573 Employees
On-site Workplace
Year Founded: 2001

What We Do

Castleton Commodities International is an independent global energy commodity merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets.

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