- World Leading Provider of Market Infrastructure.
- Above Market Average Compensation Package
About Our Client A leading financial technology firm focused on leveraging advanced algorithms, quantitative strategies, and machine learning to optimize trading decisions. We aim to provide cutting-edge technology solutions to global financial markets, and we're looking for a talented Algorithmic Trading Developer to join our growing team.
Job Description - Algorithm Design and Development: Develop, implement, and optimize algorithmic trading strategies in collaboration with quant researchers and traders.
- Performance Tuning: Ensure trading algorithms are optimized for low-latency and high-throughput environments, identifying and resolving performance bottlenecks.
- Backtesting and Simulation: Build and run simulations to validate strategy performance, ensuring robust and accurate backtests with historical and real-time data.
- Execution Systems: Develop and maintain the infrastructure required to execute trades, including order management, execution engines, and risk management systems.
- Data Integration: Work with large-scale datasets from various financial exchanges, integrating market data feeds and ensuring low-latency performance.
- Monitoring and Support: Ensure the stability and reliability of trading algorithms during live market operations, providing on-call support when necessary.
- Collaborative Development: Work with cross-functional teams (quant researchers, data scientists, and infrastructure engineers) to continually improve trading performance.
MPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.
The Successful Applicant - Educational Background: Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field. Advanced degrees (MSc, PhD) preferred but not required.
- Programming Skills: Strong proficiency in programming languages such as Python, C++, Java, or other high-performance languages.
- Quantitative Analysis: Experience with numerical methods, statistical analysis, and machine learning techniques.
- Financial Markets Knowledge: Solid understanding of financial instruments and market microstructure (equities, options, futures, FX, or fixed income).
- Algorithmic Trading Experience: Prior experience developing, testing, and deploying algorithmic trading strategies in a professional setting is highly preferred.
- Low-Latency Systems: Experience with low-latency systems design and performance optimization.
- Database Skills: Proficient in working with SQL or NoSQL databases, and experience managing large-scale time-series data.
- Familiarity with Trading Platforms: Experience with FIX protocol, market data APIs, and trading platforms such as Bloomberg, Reuters, or proprietary systems.
- Problem-Solving: Strong analytical thinking and problem-solving skills with the ability to debug complex issues in a fast-paced environment.
- Team Player: Ability to work collaboratively with teams across multiple departments.
What's on Offer - Competitive salary with performance-based bonuses.
- Hybrid working environment in the financial district
- Health, dental, and vision insurance.
- Generous vacation and PTO policy.
- Learning and development opportunities, including conferences and certifications.
Contact Maximus Egermayer Quote job ref JN-102###-####662