Senior Data Business Analyst – Python Jupyter Tableau Banking

Description de la mission

Senior Data/Business Analyst – Price Risk, Python, Jupyter, Tableau sought by leading investment bank based in London.
**Inside IR35 – 3 days a week onsite**
The candidate must be an individual experienced in data analytics, with both hands-on skill and with sufficient domain knowledge to be able to provide meaningful solutions that are functional and sustainable.
Key Responsibilities:
Support the Metrics and Data Controls Lead in the development of a best-in-class platform to provide meaningful insights into the causes of data quality issues so that remediation efforts can be focused to drive Risk Reduction
Write data and feature specifications utilising Control outputs and work with Technology partners to develop new analytics capabilities.
Compile insightful, actionable analysis of trends against Data Quality Indicators to support decision making by senior management.
Plan and co-ordinate UAT activities for new business analytics capabilities.
Provide hands-on technical data support for the Price Risk Metrics and Control Analytics initiative.
Identify Risks & Issues and proactively seek to resolve or escalate them in a timely and well-articulated manner.
Have relevant industry experience within the Financial Industry, preferably within Business / Data Control Analytics
Skills required:
Excellent attention to detail when analysing and documenting data and business requirements
Understanding of the key data quality themes typically experienced at the touchpoints between processes in large complex technology environments.
Ability to work off own initiative to identify opportunities for improvement and better data insight.
Use of Python / Jupyter notebooks to analyse data.
Use of SQL to analyse data.
Good Tableau skills to support data analysis and develop storytelling through efficient visualisations.
Background in using advanced Tableau reporting / analytics capabilities to support Control / Business Data Analytics
Proficiency with Excel and PowerPoint.
Excellent attention to detail along with problem solving and analytical skills.
Preferred:
Good understanding of Control functions in Price Risk Front Office valuation processes and their interaction with Market Risk Management and Product Control.
Strong business and data analysis skills
Exposure to python data science libraries (e.g. SciKit-Learn) a plus.
Excellent oral and written communications skills; must be able to use language efficiently and succinctly to deliver targeted messaging to senior stakeholders.
Please apply within for further details or call on 07393149627
Alex Reeder
Harvey Nash Finance & Banking