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To excel at this role, you should be detail-oriented, objective and be able to articulate technical details succinctly and clearly. We are looking for demonstrable experience of working on a wide variety of data science projects in a commercial or academic environment, knowledge of data best practices and a keen interest of staying abreast of the latest technological developments that are relevant.
What we offer
At GreySpark Partners, you are empowered to take ownership of your work and intellectual development and to build a network that will further your career ambitions. We offer a clearly defined career path and apply a meritocratic process in promoting the next tranche of leaders in our growing firm. You will have the opportunity to work in a team-focused, dynamic business that recognises success.
Statistical analysis of financial data (client/product/trade datasets)
Working with business analysts to define and gather data requirements
Sourcing and joining data from multiple sources
Automation of routine analysis and regulatory reporting requirements
Communicating technical results to a non-technical audience
Preparing documentation to explain data transformation steps
Ad-hoc data souring/analysis as and when the client requests
Skills & Qualities
Understanding of relational database management tools, in particular; SQL, Kdb+
Advanced knowledge of Microsoft Excel (basic knowledge of VBA is a bonus)
Data manipulation skills; cleansing, enriching and linking datasets
Understanding of data best practices and basic data governance principles
Demonstrable interest in data analysis e.g. participation in online competitions, independent research etc.
Technical skills (optional):
Working knowledge of Python libraries such as matplotlib, pandas and numpy would be advantageous
Experience with data visualisation tools Qlikview, Tableau, matplotlib
Experience with Agile technologies (JIRA) and version control software (Git / Subversion)
Familiarity with big data tools such as Cassandra, Hadoop (Pig, Hive, Impala), Spark, MongoDB
University degree in computer science, mathematics, engineering or other quantitative subjects
Internal Number: 5667694
About GreySpark Partners
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