Global Financial Services Firm is hiring for a Quantitative Developer who has worked within Trade Surveillance. This is a permanent role and working on a hybrid basis.
Responsibilities include:
Design and develop quantitative models and algorithms for trade surveillance systems to detect market abuse and ensure regulatory compliance. Implement algorithms using Python, R, or Matlab. Collaborate with Business Analysts to integrate models into surveillance systems. Backtesting and performance monitoring. Develop data visualization tools for surveillance dashboards. Liaise with Data Scientists to refine machine learning models.
Skills and Experience:
Between 2-4 years in Quant Development, Risk Management, or Modeling. Strong understanding of Financial Markets, particularly Trading Platforms and Financial Products. Experience with quantitative libraries - NumPy, Pandas, SciPy. Strong programming skills in Python, Matlab, and R. Familiarity with Machine Learning Frameworks - TensorFlow, PyTorch.
Please apply for an immediate interview!
#J-18808-Ljbffr
Responsibilities include:
Design and develop quantitative models and algorithms for trade surveillance systems to detect market abuse and ensure regulatory compliance. Implement algorithms using Python, R, or Matlab. Collaborate with Business Analysts to integrate models into surveillance systems. Backtesting and performance monitoring. Develop data visualization tools for surveillance dashboards. Liaise with Data Scientists to refine machine learning models.
Skills and Experience:
Between 2-4 years in Quant Development, Risk Management, or Modeling. Strong understanding of Financial Markets, particularly Trading Platforms and Financial Products. Experience with quantitative libraries - NumPy, Pandas, SciPy. Strong programming skills in Python, Matlab, and R. Familiarity with Machine Learning Frameworks - TensorFlow, PyTorch.
Please apply for an immediate interview!
#J-18808-Ljbffr
