- Develop pricing models within an application development framework, ensuring resilience and best practices.
- Contribute to and utilize quantitative libraries for efficient model development.
- Integrate pricing models and collaborate with team members from different disciplines.
- Research and develop innovative solutions to address new and existing challenges in real-time event-driven environments.
- Work with shared frameworks to deliver robust and scalable solutions.
- Implement data-driven development practices, including unit testing, mocking, and back-testing.
- Stay updated with the latest advancements in AI-assisted coding and apply them to your work.
- Collaborate with a global team, communicating effectively and managing your workload independently.
- Ensure conduct risk awareness, identifying and mitigating potential risks to client interests and market integrity.
- Strong background in pricing analytics, with experience in at least one asset class.
- Proficiency in system design, CI/CD practices, and working in real-time event-driven environments.
- Experience with shared frameworks for solution delivery and a track record of data-driven development.
- Proven expertise in multiple programming languages, including Python, Java, or C++, with a willingness to learn additional languages.
- Familiarity with relational and NoSQL databases, such as KDB, Oracle, Sybase, or Cassandra.
- Previous exposure to electronic trading systems, execution platforms, and hedging algorithms is advantageous.
- Experience with container frameworks and related tooling is desirable.
- Excellent problem-solving skills, with the ability to translate complex business requirements into practical solutions.
- Analytical mindset, capable of understanding and presenting insights effectively.
- Collaborative and confident communication style, with the ability to manage your workload and provide regular feedback.
Skills Required
- Strong background in pricing analytics with experience in at least one asset class
- Proficiency in system design and CI/CD practices
- Experience working in real-time, event-driven environments
- Proven expertise in multiple programming languages including Python, Java, or C++
- Familiarity with relational and NoSQL databases such as KDB, Oracle, Sybase, or Cassandra
- Experience implementing data-driven development practices including unit testing, mocking, and back-testing
- Exposure to electronic trading systems, execution platforms, and hedging algorithms
- Experience with container frameworks and related tooling
- Ability to collaborate across disciplines, communicate confidently, and manage workload independently
- Awareness of conduct risk and ability to identify and mitigate risks to client interests and market integrity
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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