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Counterparty Risk Data Analyst

JR United Kingdom

Reading

Hybrid

GBP 45,000 - 70,000

Full time

7 days ago
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Job summary

A leading investment bank seeks a skilled Data Analyst to enhance their Risk Systems Operations team. This hybrid role involves providing support for risk applications, performing data analysis, and collaborating with IT and business teams to improve processes and services. Strong experience in financial services, particularly in market and counterparty risk, is essential. Candidates should possess technical skills in SQL and Python and effective communication abilities.

Qualifications

  • Experience in Data Analysis within financial services is crucial.
  • Technical expertise in SQL and Python required.
  • Familiarity with Agile, DevOps, and Site Reliability Engineering preferred.

Responsibilities

  • Provide second and third-line support for risk applications.
  • Perform data and functional analysis to resolve system issues.
  • Collaborate with stakeholders across IT and business teams.

Skills

Data Analysis
Market Risk
Counterparty Risk
SQL
Python
Data Visualisation
Communication
Stakeholder Management

Tools

PowerBI
Jira
Confluence
Excel
SharePoint

Job description

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Counterparty Risk Data Analyst | Financial Services | London | Hybrid

Our client, a leading player in the Investment Banking industry, is seeking an experienced Data Analyst to join their Risk Systems Operations team. This role focuses on supporting market and counterparty risk applications and ensuring smooth production services.

  • Location: London (50% onsite)
  • Work Pattern: Hybrid – 2 to 3 days per week in the office
  • Contract Type: Contract

Key Responsibilities:

  • Provide second and third-line support for risk applications
  • Perform data and functional analysis to resolve system issues
  • Deliver risk analysis and support stress testing
  • Collaborate with stakeholders across IT and business teams
  • Drive process improvements and contribute to agile delivery

Requirements:

  • Strong experience in Data Analysis within financial services
  • Expertise in market or counterparty risk
  • Technical skills with SQL and Python
  • Data Visualisation skills with PowerBI, other Automation and Metrics knowledge handy.
  • Proficiency with tools like Jira, Confluence, Excel, and SharePoint
  • Familiarity with Agile, DevOps, and Site Reliability Engineering
  • Excellent communication and stakeholder management skills
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