Java Engineer - Equity Volatility

Millennium Management; London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial firm in London is seeking a Java Engineer to join their global team. The successful candidate will develop Equities Volatility Risk systems and collaborate with various stakeholders. Strong Java skills and experience in Unix/Linux are essential. The role involves building real-time pricing systems and requires excellent communication and teamwork.

Qualifications

• Minimum of 5 years' experience with Java backend development.
• Deep understanding of concurrent, multi-threaded application environments.

Responsibilities

• Build and maintain real-time equities pricing and risk systems.
• Code in and/or learn UI technologies.
• Write documentation.

Skills

Communication

Team Player

Java

Unix/Linux

Agile

Education

B.S. in Computer Science

B.S. in Mathematics

B.S. in Physics

B.S. in Financial Engineering

Tools

JavaScript

HTML5

Python

Job description

Java Engineer - Equity Volatility

The successful candidate will join a global team that designs and develops Equities Volatility Risk, PnL, and Market Data systems. The candidate will work hands-on with other developers, QA, and production support teams. The team interacts with key stakeholders such as Portfolio Managers, Middle Office, and Risk Managers. Must be a very strong hands-on developer with a good understanding of pricing and risk functionalities of a trading system. Excellent communication skills and being a team player are essential. Experience working in a Unix/Linux environment is required. Experience with cloud and containerization technologies is a plus.

Principal Responsibilities

• Build and maintain real-time equities pricing and risk systems.
• Code in and/or learn UI technologies.
• Write documentation.
• Test code using approved frameworks.

Qualifications/Skills

• Minimum of 5 years' experience with Java backend development.
• Deep understanding of concurrent, multi-threaded application environments.
• Expertise in Object-Oriented design, Design Patterns, Unit & Integration testing.
• Experience with distributed caching and replication technologies.
• Experience with equities, derivatives, or convertibles is preferred.
• Knowledge of Python is a plus.
• Proficiency in Unix/Linux.
• Knowledge of Agile/Scrum methodologies.
• Front-end UI technologies such as JavaScript and HTML5 are desirable.
• B.S. in Computer Science, Mathematics, Physics, or Financial Engineering.
• Demonstrates thoroughness and strong ownership of work.
• Good team player with a willingness to participate and help others.
• Excellent communication skills.