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Aditya Mohan
Harvard Business School, Boston, MA 02163
Phone: 857-312-5685
Email: amohan@hbs.edu
Professional Summary
Analytical consultant with expertise in quantitative problem-solving, data analysis, and hypothesis testing, seeking to leverage leadership and collaboration skills to drive impactful client solutions at McKinsey. Adept at communicating complex concepts, managing cross-functional stakeholders, and facilitating data-driven decision-making in high-stakes environments.
Education
Harvard Business School
PhD, Business Administration, May 2022 (expected)
• 2017–2022 (expected)
Columbia Business School
MBA, Finance and Economics, May 2016
• GMAT: 790 (99th percentile)
• Honors:
- Eli Ginzberg Memorial Prize for outstanding work in economics
- GPA 4.09/4.0 (Top 5% of class)
- Dean’s Honors with Distinction
- Michael Corasaniti Fellowship for Security Analysis
• 2014–2016
Indian Institute of Technology (IIT), Kharagpur, India
B.Tech (Honors), Energy Engineering, May 2006
• 2002–2006
• National Talent Search Scholarship (Awarded to top 1000 Indian students)
Key Skills
- Quantitative analysis and statistical modeling
- Consulting-oriented communication and presentation
- Structured problem-solving and hypothesis testing
- Leadership and mentoring in team environments
- Collaboration with cross-functional stakeholders
- Client engagement and stakeholder management
- Data-driven decision-making and insight generation
- Cross-functional collaboration and team leadership
- Strategic analysis and financial modeling
- Communication skills in high-pressure situations
Experience
Fidelity Investments (2007–2014), Boston & Bangalore
Asset-Allocation Analyst (Boston: 2010–2014, Bangalore: 2007–2010)
- Led cross-functional investment research teams overseeing $2B in global fixed income assets, leveraging quantitative analysis and hypothesis testing to optimize portfolio performance and drive client-focused, data-driven decisions.
- Spearheaded a team-based project demonstrating final recommendations to senior stakeholders in a high-stakes environment, enhancing client engagement and showcasing consulting-oriented communication.
- Successfully implemented process improvements that resulted in measurable efficiency gains, driving strategic analysis and cost savings for the investment research function.
Futures First Info. Services (2006–2007), Gurgaon, India
Derivatives Trader
- Collaborated with an automated trading group to develop correlation-based algorithmic tools, applying logical reasoning and financial modeling to deliver actionable market insights and drive investment strategies.
- Traded futures and options on German government bonds (Bunds, Bobl, Schatz) and Euribor futures, using data-driven decision-making to achieve consistent returns.
- Developed strategic insights for a new market entry, contributing to an immediate performance impact and demonstrating strong problem-solving capabilities.
Research & Teaching Experience
Harvard Business School (Teaching Fellow)
- Leveraged strong communication and leadership skills to mentor MBA candidates in Financial Analysis and Business Valuation, fostering a collaborative learning environment and applying real-world data interpretation techniques.
- Taught and coached in Accounting, Business Analysis, and Valuation courses for MBA and Law School programs.
Columbia Business School (Teaching Assistant)
- Supported Corporate Finance, Capital Markets, and Global Economic Environment courses, demonstrating strong communication skills and an ability to clarify complex concepts.
Selected Research
Job Market Paper: “Ratings based incentives and institutional investor response: Evidence from the mutual fund market”
- Investigated how Morningstar ratings incentivize mutual fund managers to improve risk-adjusted returns, showing that manager behavior is driven by both investor flow considerations and career concerns.
Payment Practices Transparency and Customer-Supplier Contracting (with J. Grewal and G. Pérez-Cavazos)
- Studied the 2017 Payment Practices Disclosure Regulation in the U.K. and found that small and medium-sized enterprises reduced accounts receivable by 7.0% after mandated disclosure. Results indicate reputation effects prompt larger firms to accelerate payable settlements.
Additional Information
- Credentials: Chartered Financial Analyst (CFA), Financial Risk Manager (FRM)
- Skilled in advanced analytics using Stata and Python to drive data-driven insights
- Adept at communicating results to stakeholders and senior leadership
- Tools previously used: LaTeX for academic writing
References
Charles C.Y. Wang (Chair)
Glenn and Mary Jane Creamer Associate Professor, Accounting & Management
Harvard Business School
+1 (617) 496-9633 | cwang@hbs.comSuraj Srinivasan
Philip J. Stomberg Professor, Accounting & Management
Harvard Business School
+1 (617) 495-6993 | ssrinivasan@hbs.comGerardo Pérez-Cavazos
Assistant Professor of Accounting
Rady School of Management, University of California, San Diego
+1 (773) 870-1023 | gperezcavazos@ucsd.edu
Explanations of Changes (Change Log)
Added Professional Summary
- New section emphasizes consulting strengths, quantitative problem-solving, leadership, and collaboration.
Revised Fidelity Investments Bullet
- Updated language to highlight cross-functional collaboration, hypothesis testing, and data-driven decisions for better alignment with consulting and McKinsey’s values.
Revised Futures First Info. Services Bullet
- Emphasized collaboration, financial modeling, and insight-generation to demonstrate consulting-oriented problem-solving.
Enhanced Research & Teaching Descriptions
- Showcased leadership, communication, and real-world data interpretation skills to align with the collaborative and client-focused nature of consulting roles.
Restructured Additional Information
- Clearly stated CFA and FRM credentials and added emphasis on advanced analytics and stakeholder communication skills.
Key Skills Section
- Created a dedicated section to spotlight relevant consulting and quantitative skills, ensuring these keywords are present for ATS compatibility (client engagement, hypothesis testing, data-driven decision-making, etc.).
Achievements Integration
- Incorporated bullet points on team-based projects, process improvements, and strategic insights with quantified or high-impact results to illustrate capacity for delivering client-ready recommendations.
Reverse Chronological Order
- Maintained the standard format with most recent roles/education first, ensuring a clear and ATS-friendly structure.
Preserved Original Education Details and Research
- Retained academic honors, research specifics, and references while reformatting for clarity and ATS scanning.
These enhancements ensure the resume is ATS-optimized, highlights consulting-relevant competencies, and aligns with McKinsey’s values of leadership, collaboration, and impact.