Quantitative Analyst - AG

at  TECHNOLOGY SERVICES GROUP PTE LTD

We are looking for a Quantitative Analyst who will be responsible for developing and implementing AI-driven models and algorithms to enhance our investment strategies. The ideal candidate will have a strong background in quantitative analysis, machine learning, and programming, with a focus on Python.

Qualifications:

• Master’s or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Physics.
• Strong quantitative skills with a deep understanding of probability theory, statistics, and optimization.
• Proficiency in Python programming and experience with relevant libraries and frameworks such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning is highly desirable.
• Experience working with financial data and applying quantitative techniques to investment analysis.
• Excellent communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders

• Research, develop, and implement quantitative models and algorithms leveraging AI techniques such as machine learning, deep learning, and natural language processing.
• Analyze large datasets to identify patterns, trends, and insights that can be used to enhance investment strategies.
• Collaborate with portfolio managers and other stakeholders to understand their investment objectives and develop tailored solutions.
• Conduct backtesting and performance analysis to evaluate the effectiveness of quantitative models and strategies.
• Stay abreast of the latest developments in AI, machine learning, and quantitative finance, and incorporate relevant advancements into our processes and methodologies.Work closely with the technology team to implement scalable and efficient solutions for model deployment and productionization.

Qualifications:

• Master’s or Ph.D. in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, or Physics.
• Strong quantitative skills with a deep understanding of probability theory, statistics, and optimization.
• Proficiency in Python programming and experience with relevant libraries and frameworks such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch.
• Solid understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, reinforcement learning, and deep learning is highly desirable.
• Experience working with financial data and applying quantitative techniques to investment analysis.
• Excellent communication and collaboration skills, with the ability to explain complex concepts to non-technical stakeholders.