Finance & Accounts Faculty

Sunstone; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Sunstone invites applications for a faculty member to lead Financial Accounting within our BBA in AI program in Bengaluru. The role blends foundational accounting with AI tools, automated workflows, and data-driven analysis to create experiential learning.

The candidate will deliver AI-enhanced courses, design curricula and labs, mentor undergraduates on finance-AI projects, and contribute to research and accreditation processes. PhD preferred; 2–5 years teaching or industry experience.

Qualifications

• Master's degree in Accounting, Finance or Commerce (M.Com, MBA-Finance); Ph.D. preferred.
• Ph.D. completed or in progress is preferred.
• 2–5 years of teaching or corporate experience in accounting or finance.
• Strong grasp of IFRS/GAAP/Ind-AS and corporate reporting.

Responsibilities

• Deliver AI-integrated undergraduate core and elective courses in Financial Accounting and related subjects.
• Design curricula, case studies and hands-on lab modules integrating AI workflows and automated reporting tools.
• Mentor students on applied finance-AI projects and capstones, guiding industry certifications and research.
• Publish applied research or case studies at the intersection of accounting, automation and AI; participate in committees and curriculum reviews.

Skills

Applied AI in Accounting

Lab design & teaching

Curriculum design

Analytical problem solving

Education

Master’s degree in Accounting/Finance/Commerce

PhD (preferred)

Tools

Python (basic)

LLM-based finance tools

Job description

We are seeking an innovative faculty member to lead Financial Accounting and related finance subjects within our specialized BBA in AI program. This role moves beyond traditional lecture-based accounting education, focusing on experiential learning where fundamental accounting principles are seamlessly integrated with modern AI tools, automated financial workflows, and data-driven analysis.

Key Responsibilities

AI-Integrated Teaching & Delivery: With the help of our in-house Applied AI Trainer, deliver undergraduate core and elective courses—including Financial Accounting, Corporate Accounting, Cost Accounting, and Financial Statement Analysis—by embedding AI workflows (e.g., automated journalizing, AI-assisted reconciliation, intelligent audit tools, and LLM-based financial query parsing) directly into class sessions.

Curriculum & Lab Design: Design course curricula, case studies, and hands-on lab modules that teach students how to pair standard accounting frameworks (IFRS/GAAP) with modern analytics platforms, automated reporting tools, and generative AI interfaces.

Modern Assessment & Project Mentorship: Develop competency-based evaluation methods, moving past rote calculations to assess student proficiency through real-world simulation projects, automated financial model audits, and AI-driven capstones.

Academic Guidance & Mentorship: Guide undergraduate students on applied finance-AI projects, industry certifications, research initiatives, and career pathways in modern corporate finance and fintech.

Research & Institutional Contribution: Publish applied research or case studies at the intersection of accounting, automation, and AI. Participate actively in departmental committees, accreditation processes, and curriculum review boards.

Required Qualifications

Academic Credentials: Master’s degree in Accounting, Finance, or Commerce (M.Com, MBA-Finance). Ph.D. completed or in advanced stages is strongly preferred.

Professional Certifications (Preferred): CA, CMA, ACCA, or CPA.

Experience: 2–5 years of combined teaching or corporate industry experience in accounting, auditing, or financial analysis.

Core Subject Mastery: Robust conceptual grasp of financial accounting principles, corporate reporting, and IFRS/Ind-AS/GAAP standards.

Required Technical & Pedagogical Skills

Applied AI in Accounting: Preferred but not mandatory - Working familiarity with applying AI tools in finance—such as leveraging LLMs for financial analysis, prompt design for balance sheet interpretation, automated spreadsheet scripting, or basic Python/data tools for financial data pipelines.

Modern Classroom Facilitation: Proven ability to run interactive, problem-based learning sessions and design tech-enabled classroom exercises.

Analytical Problem Solving: Strong capability to dissect complex business problems and translate them into teachable, automation-ready accounting workflows.