Risk Technology Data Analyst

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

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