Risk Technology Data Analyst

Cantor Fitzgerald; Greater London; On-site; GBP 65,000 - 90,000; Full time

Job summary

Cantor Fitzgerald in London is seeking a Risk Technology Data Analyst to join the Risk Management Technology team. You will gather requirements, build data analysis processes, and develop risk reporting dashboards across asset valuations and custom measures.

You will work with risk, trading, middle office and clearing teams, ensure data integrity, implement source control and deployment practices, and stay ahead with industry trends in risk technology.

Qualifications

• Proficiency with AI coding tools and platforms.
• Strong SQL skills and experience with MS SQL Server, Sybase or Oracle.
• Excellent Python and R programming with ML concepts.

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 compliance with regulatory standards.
• Implement industry-standard practices for source control and application deployment.
• Evaluate new technologies for their 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 and accuracy.
• Build management dashboards and reports, providing insights for decision-making.
• Stay updated with industry trends and best practices in risk management and technology.

Skills

AI Coding Tools

SQL

Python

R

Machine Learning

Education

Degree in Computer Science / Mathematics / Statistics

Tools

Git

Jira

Job description

The Risk Technology Data Analyst will be a key member of the Risk Management Technology team, contributing to the development and enhancement of risk systems. This role offers an opportunity to work with a dynamic team, utilizing cutting-edge technologies to manage and mitigate risks across the enterprise.

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 compliance with regulatory standards.
• Implement industry-standard practices for source control and application deployment.
• Evaluate new technologies for their 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 and accuracy.
• Build management dashboards and reports, providing insights for decision-making.
• Stay updated with industry trends and best practices in risk management and technology.

Qualifications

• Proficiency with AI Coding Tools and Platforms is a must, along with strong SQL skills and database management experience (MS SQL Server, Sybase, Oracle).
• Excellent programming skills in Python and R, with a deep understanding of statistical and machine learning concepts.
• Experience with DevOps Solutions, particularly Git and Jira, is essential.
• Desirable skills include 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 Markup/Markup Schemas (JSON, xml) and RESTful services is preferred.
• A strong analytical mindset and the ability to work with complex datasets are key.
• Excellent communication skills for effective collaboration with Risk Management.
• A proactive and self-motivated approach to work, with a focus on continuous improvement.
• A relevant degree in Computer Science, Mathematics, Statistics, or a related field is preferred.

Job Info

• Job Identification 249537
• Posting Date 07/30/2026, 11:49 AM
• Locations Five Churchill Place, London, Canary Wharf, E14 5HP, GB