Tutors for Computational Finance

Cloud Counselage Pvt Ltd; Mumbai; On-site; INR 1,102,000 - 1,653,000; Part time

Job summary

A leading educational institute in Mumbai is seeking experienced tutors for Computational Finance to deliver high-quality lectures and academic support to undergraduate students. The role involves teaching key topics, guiding students through assignments, and creating course materials. Candidates should possess a strong background in finance, programming, and quantitative analysis, with a preference for a master's degree in a related field. This is an hourly-based position, providing flexible payment based on hours worked.

Qualifications

• Strong knowledge of financial theory and quantitative analysis.
• Excellent communication and presentation skills.
• Ability to explain complex technical concepts clearly.
• Excellent communication and presentation skills.
• 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.

Responsibilities

• Deliver lectures on core topics within Computational Finance.
• Provide guidance to students on assignments and exam preparation.
• Create and update course materials in collaboration with the department.
• 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 learning environment.

Skills

Financial modeling

Algorithmic trading

Risk management

Quantitative analysis

Financial data analysis

Programming in Python

Programming in R

Programming in MATLAB

Programming in C++

Education

Masters degree or higher in Computational Finance, Financial Engineering, Quantitative Finance, Applied Mathematics, or Computer Science

Job description

About the job Tutors for Computational Finance

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.