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
Alex Reeder
Harvey Nash Finance & Banking