Market Data Lead (SQL) - Front Office Data Quality

Client Server Limited; Greater London; Hybrid; GBP 117,000 - 143,000; Full time

Benefits offered by this job

Onsite facilities (restaurant & gym)

Hybrid work: once a week in office

Competitive compensation package

Job summary

Client Server Limited is seeking a Market Data Lead (SQL Front Office) in London to own data quality and delivery for front-office users. You will partner with Trading, Research and Risk to ensure timely, accurate market and economic data and drive continuous process improvements.

You will manage data sourcing from internal and third-party platforms, oversee testing and approvals, and coordinate with offshore Data Operations to validate and reconcile data.

Qualifications

• 2.1 or higher in a quantitative field such as Data, Mathematics or Statistics.
• Strong experience in financial services supporting front office or market data functions.
• Proficiency with SQL and large dataset querying.
• Experience partnering with Trading, Research, Risk or Compliance stakeholders.

Responsibilities

• Own data quality, delivery and service improvement within a front-office environment.
• Lead data projects, production changes and testing with QA and approvals.
• Source and query datasets from internal databases and third-party tick data platforms.
• Collaborate with offshore Data Operations to validate, reconcile and update data.

Skills

SQL

Data analysis

Stakeholder management

Data quality

Education

2.1 in Data/Math/Statistics or quantitative discipline

Tools

Bloomberg

Refinitiv

ICE

Job description

Client Server Limited is seeking a Market Data Lead (SQL Front Office) in London to own data quality and delivery for front-office users. You will partner with Trading, Research and Risk to ensure timely, accurate market and economic data and drive continuous process improvements.

You will manage data sourcing from internal and third-party platforms, oversee testing and approvals, and coordinate with offshore Data Operations to validate and reconcile data.