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Vp front office data analytics

London
Harvey Nash
€100,000 a year
Posted: 5 March
Offer description

Role: VP Front Office Data Analytics

Location: London (hybrid, 3 days on site in Central London)

Salary: £90-£110K + Bonus, Pension, Private Health

This role sits in the COO of a global bank, where you'll be responsible for the maintenance and ongoing development of a golden source of data that is used across all corporate, institutional and investment banking arms of the business. You will act as the 'go to' for all data related issues within the Front Office and will work closely with Traders as well as Legal, Compliance and Risk functions.


The role

* Responsible for CIB Banking data governance, drive changes to improve data governance, streamlining operational processes, document and maintain data management processes.
* Create ETL pipelines and automated processes for ingesting and processing data.
* Be responsible for the current and future state of the data warehouse architecture, including data sourcing, data validation, data ingestion, database optimisation, tools, technologies and best practice.
* Lead on and be responsible for ensuring the data warehouse can be used as a corporate resource, integrating its outputs with Salesforce, PowerBI, Dealogic, pricing tools and other analytical endpoints where necessary.


Your background/experience

* Proven data analysis experience and maintenance of data systems working with the FO within a CIB Banking environment (essential).
* Strong financial knowledge and understanding of accounting concepts and standards (essential).
* Strong SQL skills and ability to create queries to extract and build tables (essential).
* Data governance, data quality and end-to-end data management (essential).
* Proficiency in programming languages such as Python (essential).
* Strong knowledge of data modelling techniques and methodologies in a financial context (essential).
* Proven experience with at least one major Cloud Data Warehouse Solution (e.g. Snowflake), (essential).
* End-to-end experience working with ETL tools (essential).
* Experience using Salesforce or other CRM systems.

PLEASE NOTE THAT THE CLIENT CANNOT OFFER SPONSORSHIP

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