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Fidelity International is seeking a data-focused professional to support investment research through automation, data tooling, and visualization. The role emphasizes developing tools, data pipelines and dashboards to aid analysts and portfolio managers.
Ideal candidates have 2–5 years in data management in finance, strong Excel/VBA, Python, and exposure to SQL and BI tools. This position is based in Gurgaon, India, with responsibilities spanning data analysis and reporting.
Fidelity International offers world-class investment solutions and retirement expertise. We are a privately owned, independent company with the commitment and resources to provide the investment expertise, technology and service innovation needed to help our clients achieve their financial goals.
Our people are passionate, engaged, smart and curious, and we give them the independence and the confidence to make a difference. While we take pride in our investment solutions and client service excellence, we know we can always do better. We are honest, respectful and make tough calls, challenging the status quo to achieve better outcomes through innovation. Above all else, we always put our clients first.
Investment Research Support department is based out of two locations - Gurgaon, India and Dalian, China. The department provides fundamental research support (building financial models, maintaining industry databases, and conducting Industry and company analysis) to all FIL Equity and Credit analysts and select Portfolio Managers. This allows analyst teams to cover a higher number of stocks/credits, respond faster to corporate developments, dig deeper into investment issues, and manage coverage gaps. Additionally, the team has Data intelligence capabilities which have allowed FIL Research to build proprietary data series, add analysis layer over Research IT tools and do custom quant work for analysts and PMs. The team is also looked upon as a talent nursery for sourcing future Fidelity analysts.
The role supports Fidelity’s investment professionals by using data, analytics and automation to improve the efficiency and effectiveness of the investment research and decision-making process. The individual will develop investment tools, screens, dashboards and data-driven analysis that help analysts and Portfolio Managers access relevant information, identify investment insights and make more informed decisions.