Tutors for Computational Finance

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We are looking for experienced and passionate tutors to deliver high-quality lectures and provide academic support to undergraduate (UG) students in the field of Computational Finance. This position offers an excellent opportunity for individuals with a strong background in finance, programming, and quantitative analysis to help shape the next generation of financial professionals.

Key Responsibilities:

• Deliver lectures on core topics within Computational Finance, including financial modeling, algorithmic trading, risk management, quantitative analysis, and financial data analysis.
• Break down complex quantitative and computational concepts into understandable lessons for UG students.
• Provide guidance to students on assignments, projects, and exam preparation.
• Facilitate in-class discussions and problem-solving sessions.
• Offer personalized tutoring for students who need additional assistance.
• Create and update course materials (e.g., slides, practice problems, readings) in collaboration with the department.
• Track student progress, provide feedback, and support students' academic growth.
• Stay updated on trends and advancements in the field of Computational Finance and incorporate relevant materials into lectures.
• Maintain a professional, engaging, and encouraging learning environment.

Qualifications:

• A Masters degree or higher in Computational Finance, Financial Engineering, Quantitative Finance, Applied Mathematics, Computer Science, or a related field.
• Strong knowledge of financial theory, quantitative analysis, and computational methods used in finance.
• Proficiency in programming languages such as Python, R, MATLAB, or C++.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts clearly.
• Previous teaching or tutoring experience is a plus, but not required.
• Ability to work independently and manage time effectively.
• A passion for teaching and mentoring students.

Compensation:

This is an hourly-based position, with payment provided based on the number of hours worked and lectures delivered.

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