Data Analyst (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst (Fintech): Integrating client portfolio data into a leading portfolio management platform with an accent on data modeling and integration. Focus on analyzing data sources using SQL and Jupyter Notebooks to optimize content pipeline efficiency.
Location: Edinburgh, UK. Must have the right to work in the UK; no visa sponsorship available.
Company
is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.
What you will do
- Analyze and onboard portfolio data from various sources using SQL and Jupyter Notebooks to determine integration and modeling strategies.
- Partner with engineering, product management, and data operations to deliver high-quality and reliable data solutions.
- Collaborate with third-party data providers to develop and support the integration of their data into the platform.
- Develop data aggregations and functionality based on client and third-party content and user workflow needs.
- Create data-oriented workflow solutions and product improvements in collaboration with UX and design teams.
- Analyze and develop solutions to improve data operations and content pipeline efficiency.
Requirements
- At least 2 years of experience working with financial data and concepts relevant to wealth management.
- Right to work in the United Kingdom from the first day of employment.
- Strong communication and interpersonal skills for working with vendors, clients, and internal partners.
- Proficiency in data analysis tools such as SQL and Jupyter Notebooks.
- Passion for the finance and technology space and solving complex investment management problems.
Culture & Benefits
- Values-driven environment focusing on ownership, collaboration, and innovation.
- Commitment to equal opportunity, inclusion, and belonging.
- Provision of reasonable accommodations for individuals with disabilities during the application and employment process.
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