2 Fidelity International Data Analyst Jobs

About your role

Help generate and direct reliable, relevant and timely data for FIL S&MA Tactical Asset Allocation analysts, portfolio managers and investment management with an objective of improving our investment process efficiency.

Key Responsibilities:

• Supporting the S&MA investment team's Tactical Asset Allocation process
• Collate, compile, mine and present a broad range of data for internal purposes, primarily focussed on investment management process inputs. Create effective but user-friendly visual depictions for the same
• Create bespoke investment screens and dashboards using internal and external data sources, and prepare periodic reports based on them. These will typically capture fundamental, valuation and technicals.
• Develop automated investment tools designed to improve analyst/PM productivity. Specifically, work with technology to create a central resource for data management and tracking of trade idea generation, which supports and drives investment discussions with regional cross-asset groups.
• Maintaining and producing charts and packs for the S&MA core portfolio
• Attending team discussions on trade ideas and trade tracking
• Other data management tasks, as needed

About you

Experience and Qualifications:

• Graduate degree in Mathematics or Engineering or Finance, with advanced-level certification in Microsoft Excel and Python would be ideal. Exposure to SQL or other database query tools would an added plus
• Minimum 3 years prior experience in a data management role, preferably in the financial domain

Desired Qualities:

• Strong analytical and numerical skills
• Meticulous attention to detail
• Passion for markets
• Strong Python and Excel skills, including VBA, charting and macro writing, with ability to handle a large amount of structured and unstructured data
• Experience of Data visualization tools such as Tableau, PowerBI, will be a plus
• Must be familiar with fundamental financial data and capital markets terminology, and know what they mean
• Good competence with some financial database such as Bloomberg or FactSet
• Effective oral and written communication skills
• Strong team player