Quantitative Analytics Developer

Quantitative Analytics Developer:

A leading financial services firm specializing in quantitative analytics and algorithmic trading is seeking a highly skilled Quantitative Analytics Developer to join a dynamic team. The successful candidate will play a pivotal role in developing and implementing cutting-edge quantitative models and algorithms to drive trading strategies and decision-making processes into increasingly competitive markets.

Responsibilities:

• Develop and implement quantitative models and algorithms for trading strategies across various asset classes, including equities, fixed income, derivatives, and foreign exchange.
• Collaborate with traders, researchers, and software engineers to design, test, and deploy algorithmic trading strategies.
• Conduct quantitative research to identify patterns, anomalies, and opportunities in financial markets.
• Optimize and enhance existing trading algorithms to improve performance, execution speed, and risk management.
• Utilize advanced mathematical and statistical techniques to analyze market data, build predictive models, and generate insights.
• Stay abreast of industry trends, academic research, and emerging technologies in quantitative finance and algorithmic trading.

Qualifications:

• Bachelor's degree or higher in quantitative finance, mathematics, computer science, physics, or a related field.
• Solid programming skills in languages such as Python, C++, Java, or R, with a strong emphasis on object-oriented programming and algorithm development.
• Proficiency in quantitative analysis, statistical modeling, time series analysis, and data visualization.
• Experience with quantitative libraries and frameworks such as NumPy, SciPy, pandas, TensorFlow, or PyTorch.
• Familiarity with financial markets, trading instruments, and market microstructure.