Investment Data Analyst

Hybrid
Mid-level
London, 🇬🇧 United Kingdom
Data Analyst
Data science & Analytics

Role Purpose:

We have a great opportunity for an Investment Data Analyst to enhance the Data Office’s Investment data analysis capabilities by driving improvements in the data quality, promoting the adoption of modern investment data management technologies and supporting the overarching Data Governance framework.

Key Responsibilities:

  • Work closely with key stakeholders in the Investment business to investigate, analyse and help remediate data issues.
  • Participate and lead Data Governance workshops and forums building reports and dashboards to present MI to the business on progress.
  • Work with the business to identify and support Data Owners, Stewards and Custodians.
  • Engage in the review of data policies and standards.
  • Work closely with technology in delivering solutions for data issues.

Requirements

Knowledge, experience, skills and abilities (technical competencies)

You should be an experienced Investment Data Analyst with a high level of proficiency with common reporting and analysis tools (e.g., SQL, Data Management tools, MS Excel, Power BI, DQ analysis tools). You should also have experience of

  • Financial Services.
  • Fixed Income financial instruments, Swaps & Derivatives and associated data.
  • Industry expertise in the handling and usage of Market, Pricing, Custodial, and Positional data.
  • Data Governance practices, policies and standards.
  • Ability to analyse large volumes of data, understand business and technology processes, and read code to identify the root causes of data issues quickly and accurately.
  • Excellent communication skills with business stakeholders and able to build relationships across the organisation.
  • Experience analysing data from investment platforms is desirable.

Benefits

  • 28 days’ annual leave plus bank holidays
  • Pension
  • Insurance for Travel, Private Medical, Critical Illness, Life Assurance and Income Protection
  • Save As You Earn (SAYE)

And more

 

PIC

PIC

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