FNA
financial network analysis • systemic risk • financial markets • graph analytics • payments
11 - 50
Data Science Intern
May 3, 2023
FNA
financial network analysis • systemic risk • financial markets • graph analytics • payments
11 - 50
Description
• Actively involved in the research and development of exciting new tools and use-cases • Using the FNA platform and scripting language, assist in identifying hidden behavioral patterns and interconnections in large datasets • Partner with cross-functional teams to solve real-world business problems at scale and identify trends/opportunities for the customers • Own projects from end to end, stamp your name to important work and document use cases in technical reports, white papers, etc.
Requirements
• Enrolled as a PhD student focused in Graph Theory, Finance/Econometrics, Data Science, Machine Learning, Statistics, Mathematics, or related applied quantitative field • Passion and curiosity for what is happening within RegTech/FinTech/SupTech, Big Data, Graph Databases, Data Analysis and especially Graph Analytics • Experience with MatLab, Python, R or similar • Experienced with, or have a desire to learn Network Science and/or Graph Analytics • Strong written documentation skills to assist with articles/use-cases/releases etc. • Excellent written and spoken English
Benefits
• Work remotely with an international team of innovative and agile colleagues • £1k/yr for training and continuing education • Unlimited holiday lets you take a break when you need it • International team off-sites in sunny locations 2x/yr (when travel permits)
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