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.