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20/09 Madhulika Makar
Director at Mirus Solutions

Views:204 Applications:24 Rec. Actions:Recruiter Actions:7

Manager - Lead Economist - Carbon Markets Analytics & Forecasts (7-10 yrs)

Delhi Job Code: 1157545

Purpose of the position

The person would help clients build a better understanding of carbon markets by developing visualization driven insights, and by enhancing / developing models on several carbon offset markets. These would include Cap and Trade markets, Clean Fuels Markets across North America, Global Voluntary Carbon markets, etc.

Key responsibilities :

The role envisages the following activities:

- Maintaining and adding data-pipes on information that impact carbon markets

- Updating existing econometric/ data models and developing new relevant models pertaining to Carbon allowances, offsets, LCFS etc.

- Develop forward looking projections and views on issues pertaining to carbon markets. Analyzing a variety of data streams using mathematical models and statistical techniques

- Supporting delivery of reports and analysis - working with teams across the firm that require data/ insights

- Managing / mentoring a small team of data scientists and data engineers

- Understanding how clients are using the data/ models and finding ways of improving the client experience

- Supporting and actively participate in product development and management

Candidate Requirements :

The ideal candidate must :

- Have been working with analysing data already and looking to operate in carbon markets

- Have a methodical and curious mindset

- Be comfortable being an individual contributor as well as can manage a small team

- Be familiar with basics of data preparation and a variety of approaches to use data to solve problems
(econometric tools, machine learning, linear programming and the likes)

- Be experienced in climate policy, energy markets and/or environmental commodity markets is a big

- Have demonstrated knowledge and use of standard analytical software such Python, Microsoft excel,
R, or SPSS

Job Description :

- Be passionate for creating newer products and experience having done so

- Have ability to work 'hands-on'

Academic qualifications & Experience :

- Post-graduation in a relevant discipline such as economics, financial engineering, data science, statistics, applied mathematics, etc.

- 7+ years of work experience, including 5+ years in building models or recommendation solutions

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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