JAVA DEVELOPER – ALGORITHMIC TRADING SYSTEMS
Job Summary
A major financial institution with a significant presence in global markets. We operate sophisticated in-house trading systems across equities and derivatives leveraging cutting-edge technology to maintain our competitive edge.
We are currently expanding our Delta 1 Algorithmic Trading technology team and looking for a Java Developer to design build and enhance our execution platform.
The Role:
This is a hands-on development role focused on the design and implementation of industry-leading algorithmic trading systems. You will work on the core platform that executes our proprietary trading algorithms across multiple asset classes ensuring low-latency high-reliability performance in a fast-paced environment.
What Youll Actually Do:
Core Development:
- Design & Build: Architect and develop high-performance trading systems that power our in-house algorithmic execution strategies.
- Back-Test & Validate: Build and maintain back-testing frameworks to evaluate algorithm reliability performance and risk-adjusted returns.
- Enhance & Optimize: Continuously improve existing algorithms and implement new strategies based on evolving business requirements.
- Own the Code: Write clean maintainable production-grade Java code that meets rigorous performance and reliability standards.
Collaboration & Quality:
- Architectural Input: Participate in technical design discussions and contribute to architectural decisions that shape the future of the platform.
- Code Reviews: Review peer code to ensure quality consistency and adherence to best practices.
- Requirements Analysis: Translate complex business requirements into pragmatic technical solutions creating specifications where needed.
- Support & Maintenance: Support the implementation lifecycle and troubleshoot production issues to ensure system stability.
Who You Are (The Must-Haves):
Core Technical Skills:
- Java Mastery: Deep expert-level knowledge of Java with proven experience building production systems.
- Concurrency Expert: Excellent understanding of threading synchronization and concurrent programming in Java.
- Computer Science Fundamentals: Strong grasp of data structures algorithms and software design patterns.
- Linux Proficiency: Comfortable working in a Linux development environment.
- Scripting Ability: Good scripting skills using Python Bash or similar languages.
Academic Background:
- A degree in Computer Engineering Computer Science or an equivalent technical discipline.
Soft Skills:
- Thrives Under Pressure: Comfortable working in a fast-paced dynamic environment with tight deadlines.
- Problem-Solver: Analytical mindset with the ability to decompose complex problems into practical solutions.
- Team Player: Collaborative and open to feedback through code reviews and technical discussions.
What Sets You Apart (Nice-to-Haves):
- Investment Banking Experience: Prior experience working in an investment bank or similar financial institution.
- Algo Development: Exposure to algorithm development trading strategies or quantitative systems.
- C Knowledge: Experience with C development is a strong plus.
- Advanced Linux: Deep understanding of Linux system internals performance tuning and low-level optimization.
- Networking & Architecture: Knowledge of computer networks computer architecture and operating systems.
- Agile Methodologies: Familiarity with Agile software development practices (Scrum Kanban etc.).
Why You Should Consider This:
- High-Impact Work: Your code directly drives trading decisions and execution in real-time markets.
- Complex Challenges: Work on distributed low-latency systems that push the boundaries of performance engineering.
- Collaborative Environment: Join a team of talented engineers who value code quality innovation and continuous improvement.
- Career Growth: Build expertise at the intersection of finance and cutting-edge technology.
- Competitive Compensation: Attractive package commensurate with experience and impact.