Factset

London
10,310 Total Employees
Year Founded: 1978

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Jobs at Factset
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Recently posted jobs

15 Hours AgoSaved
In-Office
4 Locations
Aerospace • Big Data • Fintech • Software • Analytics
Drive product roadmap and cross-functional alignment for portfolio management services. Lead user research, prioritize features, support agile delivery, coordinate training/onboarding, and ensure interoperability and product reliability for enterprise finance users.
5 Days AgoSaved
In-Office
4 Locations
Aerospace • Big Data • Fintech • Software • Analytics
The Wealth Strategist will analyze industry trends and client workflows, recommend strategic priorities, and collaborate with stakeholders to drive the Wealth Management business at FactSet.
7 Days AgoSaved
In-Office
3 Locations
Aerospace • Big Data • Fintech • Software • Analytics
Manage, validate, and enhance FactSet's Technology sector datasets; integrate new sources into products and APIs; translate client needs into product requirements; build visualizations and collaborate with engineering, QA, and stakeholders.
8 Days AgoSaved
In-Office
3 Locations
Aerospace • Big Data • Fintech • Software • Analytics
Manage and enhance the business resilience program at FactSet, integrating Business Continuity, IT Disaster Recovery, and Crisis Management across the organization.
11 Days AgoSaved
In-Office
London, Greater London, England, GBR
Aerospace • Big Data • Fintech • Software • Analytics
As a Content Manager, you'll develop FactSet's cross-asset master database, improve data governance, and collaborate across teams to ensure accurate market data delivery.
18 Days AgoSaved
In-Office
2 Locations
Aerospace • Big Data • Fintech • Software • Analytics
The Content Manager - Corporate Actions will integrate and maintain ISO standards, oversee corporate actions data accuracy, mentor analysts, and manage content workflows.
21 Days AgoSaved
In-Office
3 Locations
Aerospace • Big Data • Fintech • Software • Analytics
Lead development and enhancement of FactSet's Telecom data offering: manage extraction, cleaning, validation, and integration of complex datasets; translate client needs into product requirements; build dashboards; engage with clients and partners; mentor team members and identify data ownership opportunities.