Ai/Quant Developer
AI/Quantitative Developer
Jersey City- Hybrid 3 days onsite
$65-$70/hour
18 Month W2 Contract (NoC2C at this time)
Job Summary:
We are seeking a Senior Core Python Developer to join our Global Markets Technology team, with a focus on designing and building trading infrastructure for Fixed Income algorithms and integrating Artificial Intelligence (AI) into trading workflows. This is a high-impact role requiring deep expertise in Python, algorithmic trading systems, and a strong understanding of capital markets. You will work at the intersection of quant development, trading technology, and AI innovation.
Key Responsibilities:
• Design, develop, and maintain high-performance Python systems for fixed income algorithmic trading.
• Collaborate with quants and traders to build execution strategies, trading signals, and decision-making logic.
• Architect and optimize low-latency data pipelines to support real-time market data processing and trade execution.
• Integrate AI/ML models into trading infrastructure to drive signal generation, strategy calibration, and risk analysis.
• Develop tools and services for backtesting, simulation, and real-time performance monitoring of trading algorithms.
• Leverage Python to interface with pricing engines, risk systems, and trade lifecycle components.
• Partner with front office stakeholders and quantitative researchers to translate market needs into scalable code.
• Write clean, testable, and maintainable code with an emphasis on performance, robustness, and reliability.
• Ensure strong software governance through unit testing, version control, and deployment best practices.
• Stay abreast of the latest developments in AI/ML and financial engineering, applying them to evolving trading strategies.
Required Qualifications:
• 5+ years of hands-on Python development experience in a trading, quant, or financial analytics environment.
• Strong understanding of Fixed Income products (e.g., bonds, swaps, treasuries) and associated market structures.
• Proven experience with algorithmic trading systems, including strategy development and execution.
• Solid knowledge of data structures, algorithms, and multithreading/concurrency in Python.
• Experience working with low-latency systems and optimizing performance for real-time processing.
• Familiarity with AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong background in numerical computing and time series analysis.
• Proficient in working with market data feeds, execution gateways, and messaging protocols (e.g., FIX).
• Experience with backtesting platforms and simulation environments.
• Deep understanding of risk management and pricing models is a plus.
• Excellent problem-solving skills, attention to detail, and a collaborative mindset.
Preferred Qualifications:
• Experience in global markets and working directly with traders or quants.
• Exposure to AI/ML-driven trading and predictive analytics for market behavior.
• Strong knowledge of financial regulations impacting trading and compliance automation.
Technology Stack:
• Languages: Python (Core, Async, Multithreaded), C++ (optional), SQL
• Libraries/Frameworks: NumPy, pandas, PyTorch/TensorFlow, scikit-learn, FastAPI, asyncio
• Tools: Git, Docker, CI/CD (Jenkins, GitLab), Jupyter, Grafana
• Data: KDB+/q (preferred), PostgreSQL, Redis, Kafka, Bloomberg/Reuters APIs
AI/Quantitative Developer
Jersey City- Hybrid 3 days onsite
$65-$70/hour
18 Month W2 Contract (NoC2C at this time)
Job Summary:
We are seeking a Senior Core Python Developer to join our Global Markets Technology team, with a focus on designing and building trading infrastructure for Fixed Income algorithms and integrating Artificial Intelligence (AI) into trading workflows. This is a high-impact role requiring deep expertise in Python, algorithmic trading systems, and a strong understanding of capital markets. You will work at the intersection of quant development, trading technology, and AI innovation.
Key Responsibilities:
• Design, develop, and maintain high-performance Python systems for fixed income algorithmic trading.
• Collaborate with quants and traders to build execution strategies, trading signals, and decision-making logic.
• Architect and optimize low-latency data pipelines to support real-time market data processing and trade execution.
• Integrate AI/ML models into trading infrastructure to drive signal generation, strategy calibration, and risk analysis.
• Develop tools and services for backtesting, simulation, and real-time performance monitoring of trading algorithms.
• Leverage Python to interface with pricing engines, risk systems, and trade lifecycle components.
• Partner with front office stakeholders and quantitative researchers to translate market needs into scalable code.
• Write clean, testable, and maintainable code with an emphasis on performance, robustness, and reliability.
• Ensure strong software governance through unit testing, version control, and deployment best practices.
• Stay abreast of the latest developments in AI/ML and financial engineering, applying them to evolving trading strategies.
Required Qualifications:
• 5+ years of hands-on Python development experience in a trading, quant, or financial analytics environment.
• Strong understanding of Fixed Income products (e.g., bonds, swaps, treasuries) and associated market structures.
• Proven experience with algorithmic trading systems, including strategy development and execution.
• Solid knowledge of data structures, algorithms, and multithreading/concurrency in Python.
• Experience working with low-latency systems and optimizing performance for real-time processing.
• Familiarity with AI/ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Strong background in numerical computing and time series analysis.
• Proficient in working with market data feeds, execution gateways, and messaging protocols (e.g., FIX).
• Experience with backtesting platforms and simulation environments.
• Deep understanding of risk management and pricing models is a plus.
• Excellent problem-solving skills, attention to detail, and a collaborative mindset.
Preferred Qualifications:
• Experience in global markets and working directly with traders or quants.
• Exposure to AI/ML-driven trading and predictive analytics for market behavior.
• Strong knowledge of financial regulations impacting trading and compliance automation.
Technology Stack:
• Languages: Python (Core, Async, Multithreaded), C++ (optional), SQL
• Libraries/Frameworks: NumPy, pandas, PyTorch/TensorFlow, scikit-learn, FastAPI, asyncio
• Tools: Git, Docker, CI/CD (Jenkins, GitLab), Jupyter, Grafana
• Data: KDB+/q (preferred), PostgreSQL, Redis, Kafka, Bloomberg/Reuters APIs
