Quantitative Analyst Intern

at  360F SINGAPORE PTE LTD

As a Quantitative Analyst Intern at 360F, you’ll collaborate with our seasoned professionals to bolster our financial advisory solutions. This internship lets you apply your quantitative skills practically, providing valuable insights into finance, technology, and data science.

Your Responsibilities:

• Data Analysis: Conduct data analysis and manipulation to extract insights, identify trends, and support model calibration and validation efforts.
• Model Development: Contribute to the design, implementation, and testing of mathematical models and algorithms used in areas such as risk profiling, asset allocation, retirement planning, and investment optimization.
• Research and Documentation: Conduct literature reviews and research on relevant topics in quantitative finance, machine learning, and data science, and contribute to the documentation of model development processes and methodologies.

• Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and domain experts to integrate quantitative models into our platform and contribute to the overall development process.Learning and Development: Take advantage of learning opportunities and mentorship from experienced professionals to enhance your technical skills, deepen your understanding of financial markets and products, and broaden your knowledge of industry trends and developments.

Requirements

• Currently pursuing a Master’s degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field.
• Minimum of 3 years of working experience.
• Strong academic background with coursework in mathematics, statistics, econometrics, or quantitative methods.
• Proficiency in programming languages such as Python, R, or MATLAB, with a strong interest in quantitative analysis and modeling.
• A basic understanding of financial markets, products, and concepts is preferred.
• Excellent analytical skills, attention to detail, and problem-solving abilities.
• Effective communication and collaboration skills, with the ability to work well in a team environment.
• Proactive attitude, willingness to learn, and eagerness to take on new challenges

• Data Analysis: Conduct data analysis and manipulation to extract insights, identify trends, and support model calibration and validation efforts.
• Model Development: Contribute to the design, implementation, and testing of mathematical models and algorithms used in areas such as risk profiling, asset allocation, retirement planning, and investment optimization.
• Research and Documentation: Conduct literature reviews and research on relevant topics in quantitative finance, machine learning, and data science, and contribute to the documentation of model development processes and methodologies.
• Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and domain experts to integrate quantitative models into our platform and contribute to the overall development process.Learning and Development: Take advantage of learning opportunities and mentorship from experienced professionals to enhance your technical skills, deepen your understanding of financial markets and products, and broaden your knowledge of industry trends and developments