Esg jobs in United Kingdom

Business Analysis role working with a world leading investment management organisation within their credit research technology team.

Our client, a leading global investment manager, are growing their European operation and are looking to hire a Business Analyst to join their Credit Research Technology team.

You will be supporting a dynamic group focussed on building innovative research and investment tools, used by credit analysts and portfolio managers. Working alongside product owners, developers and investment professionals you will play a pivotal role in shaping solutions to drive smarter investment decisions across fixed income portfolios specifically.

To be successful in this role you will need a strong BA background with deep asset management experience, specifically within credit research, and specifically related to fixed income.

Key responsibilities will include:

• Leading the definition and delivery of business and system requirements to support credit research, model-driven analysis and portfolio management tools.
• Being the SME and key point of contact between credit analysts, portfolio managers and technology teams, to ensure that business needs are translated into scalable, high-performance technical solutions.
• Helping shape the data strategy for credit research, integrating credit model data, issuer fundamentals, ESG inputs, and alternative datasets into the research ecosystem.
• Influencing the team’s digital transformation initiatives.
• Providing day to day support to the business in their use of internal tools and platforms.

Key requirements:

• Strong and demonstrable business analysis background gained in the asset management industry.
• Specific industry experience in Credit Research, particularly related to Fixed Income.
• Strong data analysis experience and the ability to interpret complex data and investment processes.
• Experience in data mapping and transformation.
• Experience with data visualisation tools such as Power BI and Tableau.
• Proficiency in SQL, AWS and Python.
• Strong communication skills and the ability to clearly translate technical issues into business context and vice versa.
• Exposure to ML models and AI frameworks in financial modelling is desirable.

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