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Fitch Solutions

Manchester, United Kingdom

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Yes

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cdb4e85c3bc7

3

07.07.2025

21.08.2025

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Sustainable Fitch - Data Specialist

Sustainable Fitch is currently seeking an ESG Data Specialist, based out of [Manchester].

Part of Fitch Group, Sustainable Fitch is focused on research and analysis of ESG themes for companies and their debt instruments across the globe. The products offered by Sustainable Fitch include ESG Scores, ESG Ratings and ESG Research, with the support of Product Development and Resource teams. It has offices in Barcelona, Hong Kong, London, New York, Singapore and Toronto.

As an ESG Data Specialist, you will form part of Product Development team. You will be responsible for sourcing, extracting, and maintaining sustainability-related data from financial and non-financial annual reports and ensure accuracy and integrity within Sustainable Fitch’s platforms. You will also provide client support for data-related queries, as they arise, and contribute to continuous process improvements

What We Offer:

• Join a growing and strategically important business division of Fitch Group, work in a rapidly evolving environment and directly contribute to its success.
• Join our dynamic data team of passionate ESG professionals with a common objective to contribute to sustainability in the fixed-income market.
• Ongoing training on financial and sustainability topics related to the role.
• Exposure to technologies and latest developments, as processes are transformed to leverage AI/ML.
• Great benefits package: medical insurance,annual volunteer working days, non-contributory pension, parental leave, four weeks per year allowance to work from abroad, and hybrid work arrangement (three days in the office, two days from home), bonus and competitive salary.

We’ll Count on You To:

• Analyse sustainability data to ensure information from annual or periodical reports has been collected in line with Sustainable Fitch processes/requirements.
• Communicate effectively with internal and external stakeholders on financial data decisions and queries via email, on the phone or face to face, virtually or in-person.
• Proactively make recommendations on process improvements to the data capture/ quality assurance process, and assist with the implementation of new processes, through training and documentation updates.

What You Need to Have:

• Knowledge of sustainability and fixed income practices, to interpret all aspects of a sustainability reporting.
• Some prior experience working with data, ideally in sustainability (i.e. six months to a year).
• Advanced proficiency with Microsoft Excel (including PivotTables, advanced formulas, data visualisation, Power Query, etc.). Familiarity with other spreadsheet platforms.
• Interest or experience in applying artificial intelligence (AI), machine learning (ML), or automation tools to data-related tasks.
• Degree in Computer Science, Data Management, Environmental Science, Sustainability, Engineering, Geology, or Business.
• Team player with excellent inter-personal skills.
• Attention to detail and analytical mindset.

What Would Make You Stand Out:

• Excellent administration and communication skills.
• Coding skills (i.e. VBA, SQL, Python). and experience working with data analysis or automation tools.
• Hands-on experience using AI/ML tools to streamline data workflows or improve data quality.
• Must have a highly organised and methodical approach to work.
• Being a self-starter who can pick up new processes quickly and accurately.

Why Fitch?

At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone.

Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch, and we invite you to join us on our journey.