Academic Associate, Finance

Indian School of Business

Hyderabad, Telangana, India0–2 yrs1h agovia LinkedIn

This job at a glance

Who can apply
Freshers and up to 2 years
Must know
AuditingExcelAccounting
Nice to have
StatisticsPythonPower BITableau
Work
On-site in Hyderabad
Pay
Not stated by the employer.
Skill demand
Excel11%Auditing7%Accounting6%Statistics3%of 97 similar fresher jobs posted in India this week
Listed
2 Nov 2026 · still open

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About the Role

The Finance Academic Associate at ISB role is designed for young, energetic individuals with a strong academic background aspiring to start their careers in higher education, research, or teaching. This position offers the opportunity to work with world-renowned faculty, deliver high-quality courses, and shape the learning experiences of future business leaders. Academic Associates often pursue a Ph.D. at internationally renowned universities or transition into teaching positions at well-known universities.

Key Responsibilities

  • Assist in Course Development, Delivery and Management (45%):
  • Support in the setup, management, and delivery of courses.
  • Manage in-class activities, LMS, grading assignments, providing feedback, and proctoring exams.
  • Support for developing new material when needed.
  • Student Mentoring and Tutorials (15%):
  • Provide academic guidance and mentorship to students.
  • Offer personalized support and assist with understanding course content.
  • Conduct tutorials and offer targeted academic assistance.
  • Ensure students receive timely help with queries and develop key academic skills.
  • Documentation and Audit Compliance (20%):
  • Ensure fulfillment of audit requirements by accurately documenting grading, student communications, and course-related interactions.
  • Maintain organized records to support internal audits and compliance reviews.
  • Professional Development and Certification (20%):
  • Audit courses for certification requirements (Teaching Track or Research Track).
  • Attend workshops, seminars, and peer learning sessions focused on instructional strategies and research development.
  • Participate in faculty-led research projects to develop research skills and gain experience (subject to opportunity).

Requirements & Tech Stack

  • MS Excel functions, including data sorting, VLOOKUP, filters, descriptive statistics, and chart creation.
  • Familiarity with Learning Management Systems (LMS) and digital tools for managing course materials and student data is desirable.

Qualifications

  • Educational Background:
  • Master’s degree required in Finance, Accounting, Commerce, Economics, Business Administration (Finance/Analytics), Financial Engineering, or related quantitative fields.
  • Candidates pursuing or holding a PhD in Finance, Accounting, or FinTech are welcome.
  • Preferred Qualifications:
  • Professional exam qualifications or progress such as CA, CMA, CFA, FRM, or NISM.
  • Strong quantitative reasoning and comfort with numerical analysis.
  • Formal training or certifications in financial modelling, valuation, Bloomberg, Python/R for finance, Power BI / Tableau, or data analytics.
  • Strong skills in valuation techniques, ability to analyze financial statements, ratios, credit metrics, and perform forecasting/model validation.
  • Exposure to time-series forecasting, regression, sensitivity analysis, or predictive modelling.
  • Familiarity with capital markets, securities research, portfolio management, asset pricing, Banking & financial intermediation, FinTech, digital finance, Corporate finance & governance, Financial inclusion, and equity analysis.
  • Skills and Competencies:
  • Commitment to excellence in teaching and learning.
  • Exceptional organizational skills with the ability to handle multiple tasks and meet deadlines efficiently.
  • Proven ability to collaborate effectively with faculty and students in a higher education environment.
  • Strong communication skills, particularly in mentoring and engaging with students.
  • Ability to work collaboratively within a team and across various functions.
  • Fundamental proficiency in mathematics and statistics.
  • Prior experience in teaching, tutoring, and academic support in a higher education setup is preferred.

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