Sumit Sharma
***********.***@*****.*** 857-***-**** LinkedIn GitHub
EDUCATION
Master of Science in Finance Sept ’23 - Dec ’24
Northeastern University
• Coursework: Investments, Fixed Income (Duration, Convexity, Z-spread), Mortgage-backed securities, Asset- backed securities, Structured Products, CLOs, Alternative Investments, Portfolio Management, ALM.
• Extracurricular: Equity Analyst at 360 Huntington Fund, Lead: Investment Club, Run Club (NEU). Bachelor of Commerce - Accounting & Finance Jun ’18 - Sept ’21 University of Rajasthan
• Coursework: Financial Modeling, Financial Management, Advanced Accounting, Credit Risk, and Income Tax.
• Extracurricular: RW Forward - Soccer team, Coordinator - MUN Committee, Co-Head: Poker Club. PROFESSIONAL EXPERIENCE
Financial Analyst Intern Jun ’24 - Dec ’24
FM Global Johnston, RI
• Evaluated credit risk and financial stability of potential shared reinsurers by analyzing 10-K reports and investor presentations, supporting strategic decisions on the $300MM+ reinsurer portfolio.
• Corrected $8MM in cost pool variances, improving accuracy in monthly financials and supporting audit readiness.
• Created and maintained Power BI dashboards and Excel for forecast models, KPIs, and internal business reviews.
• Analyzed financials across $10B+ in gross premiums and developed quarterly forecasts to enhance decision- making, align with strategic goals, and reduce variances across global operations.
• Partnered on ad-hoc process improvements, cutting software costs $1.5MM, and enhancing operational workflows. Financial Analyst Aug ’22 - Aug ’23
Tagore Ltd Jaipur, RJ
• Built DCF models to evaluate product viability and pricing strategies, supporting leadership in investment decisions.
• Owned automated monthly forecast and variance analysis workflow, published Excel reports to senior leadership.
• Implemented procurement strategies through vendor analysis and contract negotiations, reducing costs by 22%. Program Manager Dec ’21 - Jul ’22
Zelta Tech Jaipur, RJ
• Coordinated a team of 10 for market research and product rollouts, increasing customer acquisition by 60%.
• Crafted board-ready decks translating complex market research and ROI into actionable insights for founders. INVESTMENT RESEARCH EXPERIENCE
Equity Analyst Sep ’23 - Apr ’24
360 Huntington Fund Boston, MA
• Performed in-depth equity research and fundamental analysis for the $2.1MM fund, constructing an investment thesis and buy recommendations by evaluating financial statements, industry trends, and macroeconomic factors.
• Developed valuation models, including Discounted Cash Flow (DCF) analysis and Comparables Comps, to assess intrinsic value and investment potential.
• Performed due diligence on public equities, synthesizing financials and sector outlooks into investment memos.
• Responded to ad-hoc requests from the Chief of Research, including scenario analysis and valuation refreshes.
• Led the research team in leveraging Bloomberg Terminal, FactSet, and PitchBook to conduct industry benchmarking and track key valuation drivers, producing quarterly earnings reports for 20+ portfolio companies. INDUSTRY PROJECTS
• Developed and back-tested a risk-parity ETF with an equal-risk contribution trading strategy using Python, benchmarking its performance against the AQR Multi-Asset Fund and traditional 60/40 stock-bond portfolio.
• Constructed and analyzed low-volatility investment strategies for the S&P 500 using Python, analyzing returns and performance metrics to evaluate their effectiveness compared to traditional market benchmarks.
• Built efficient portfolios and researched the impact of market cap and volatility using regression techniques. SKILLS
• Portfolio & Reporting: Portfolio Monitoring, Rebalancing, Regression Analysis, Scenario Modeling, Impairment Testing, Risk Analytics, Research Analysis, Market Research.
• Financial Analysis: Financial Modeling, Trend and Variance Analysis, DCF, Comps, Forecasting, ROI Modeling.
• Tools & Platform: Excel (Advanced), PowerPoint, VBA, Bloomberg Terminal, FactSet, PitchBook.
• Programming & Data: Python (Pandas, Scipy, NumPy, Matplotlib), Data Visualization, Backtesting.