Quantitative Aptitude Faculty

**UG**:Bachelor’s degree in Mathematics / Statistics / Engineering or any other relevant field

**PG**:Any Postgraduate

**Job brief**

**-Conducting Sessions for Quantitative Aptitude, Data Interpretation for competitive exams.**
**-Handling doubts pertaining to Quant Ability content taught in the class.**
**-Fresh Content Development and Proof Reading.**
**-Mentoring of students in accordance with the mission & vision at Education 2.0.**
**-Material Enhancement.**
**-Constant Feedback to Student on his/her performance.**
**-To teach with passion and enthusiasm with the primary aim of achieving the targeted score of the students.**
**-Preparing study materials for students with interactive sessions and practical learning.**
**-Should have the ability to think out of the box and create new techniques to improve the performances of the students.**
**-Conducting workshop, seminars and in-house events on the regular basis.**

**You will directly report into Operation Head or Director(s) of the company.**

**Faculty Responsibilities**:

- Prepare course material (video lessons, study notes, practice questions, etc.) for the students enrolled in our JobTest Prep Program
- Conduct highly engaging live classes and doubt-clearing sessions for the students. Incorporate real-life examples and analogies to make the concepts easier to understand.
- Maintain a student-friendly attitude at all times and create a healthy learning environment.
- Monitor the progress of the students and provide feedback/suggestions for improvement.

**Faculty Requirements**:

- Qualified CAT/XAT/GMAT or any other equivalent exam with top ranks/percentiles in the quantitative aptitude section.
- Bachelor’s degree in Mathematics / Statistics / Engineering or any other relevant field from a leading Indian or international institution.
- Prior experience as a faculty or in content development for Quantitative Aptitude.
- Outstanding communication and people skills; Excellent camera presence.
- Computer literate, proficient with MS Office Suite and MathJax/MathML.
- Neat and legible handwriting.
- Flexible for Online and Offline Mode of Teaching.

**Job Types**: Full-time, Part-time
Part-time hours: 56 per week

**Salary**: From ₹10,000.00 per month

**Benefits**:

- Work from home

Schedule:

- Day shift
- Morning shift

Supplemental pay types:

- Performance bonus

**Experience**:

- total work: 1 year (preferred)

Work Location: Remote

**Speak with the employer**
+91 9679592704