- 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.
- 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.
Skills Required
- Proficiency with AI Coding Tools and Platforms
- Strong SQL skills
- Database management experience (MS SQL Server, Sybase, Oracle)
- Programming skills in Python
- Programming skills in R
- Deep understanding of statistical and machine learning concepts
- Experience with DevOps solutions, particularly Git and Jira
- Strong analytical mindset and ability to work with complex datasets
- Excellent communication skills for collaboration with Risk Management
- Proactive and self-motivated approach with focus on continuous improvement
- Degree in Computer Science, Mathematics, Statistics, or related field
- Experience with Credit and Market Risk, MSCI/RiskMetrics
- Experience with ETL tools (Pentaho/Hitachi Vantara)
- Knowledge of Risk Management, Margin, and Fund Accounting systems (Imagine, Seamans)
- Familiarity with JSON, XML, and RESTful services
What We Do
Cantor Fitzgerald is a leading global financial services firm, serving clients from over 30 offices around the world. Founded in 1945 as a securities brokerage and investment bank, the firm pioneered computer-based bond trading, built one of the broadest distribution networks in the industry and became the market’s premier dealer of government securities. Today, Cantor Fitzgerald is known for its strength across a diverse array of businesses, including equity and fixed income capital markets, investment banking, commercial real estate finance and services, prime brokerage, asset management and wealth management, and e-commerce and online ventures. In all its businesses, the firm is an acknowledged leader in developing advanced technologies to expand market access, and help clients achieve their most important financial and strategic objectives. This commitment to client-centered innovation has led to enduring relationships with many of the world’s most demanding institutional investors and corporations. For more information please visit www.cantor.com.
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