IT & Software

Risk Technology Data Analyst

Cantor Fitzgerald

London · Greater London · United Kingdom

Overview

As Risk Technology Data Analyst, you will drive the development and enhancement of risk systems within a dynamic Risk Management Technology team. You will rely on advanced data tools and analytics to manage enterprise risk and support decision-making. Collaborating with risk stakeholders, you’ll implement data analyses, asset valuations, and custom measures while ensuring clear reporting and compliance. This role offers exposure to cutting-edge technologies and cross-system integration, with a focus on continuous improvement and impact.

Responsibilities
  • Collaborate with Risk Management to gather and analyze requirements for risk systems
  • Build and enhance data analysis processes, including asset valuations and custom measure calculations
  • Present data using visualization tools, creating clear and concise reports
  • Create documentation for internal and external stakeholders, ensuring regulatory compliance
  • Implement industry-standard practices for source control and deployment
  • Evaluate new technologies for applicability to Risk Technology applications
  • Work on integrating risk systems with trading, middle office, and clearing systems
  • Manage security and client reference data, ensuring data integrity
  • Build management dashboards and reports for decision-making
  • Stay updated with industry trends and best practices in risk management and technology
Key requirements
  • Proficiency with AI coding tools and platforms
  • Strong SQL skills and database management experience (MS SQL Server, Sybase, Oracle)
  • Excellent programming skills in Python and R with statistical and ML understanding
  • Experience with DevOps tools, particularly Git and Jira
  • Desirable: experience with Credit and Market Risk, MCSI/Risk Metrics, and ETL tools like Pentaho/Hitachi Vantara
  • Knowledge of Risk Management, Margin, and Fund Accounting systems (Imagine, Seamans) is an advantage
  • Familiarity with JSON and XML markup and RESTful services
  • Strong analytical mindset and ability to work with complex datasets
  • Excellent communication for collaboration with Risk Management
  • Proactive, self-motivated with focus on continuous improvement
  • Degree in Computer Science, Mathematics, Statistics, or related field preferred
  • analytical mindset
  • clear communication
  • collaboration
  • AI coding tools
  • SQL (MS SQL Server, Sybase, Oracle)
  • Python

Reference: WJ-747_30153187

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