Award-Winning Finance Tutors
serving Concord, NC

I am Professor Florence. I teach at USC, UCSB, Pepperdine University, CSUN, Cal Tech, and other Universities. I received my bachelor's in Math and Psychology at UCLA, Ph.D. work in Engineering at Virginia Tech, and MBA in Marketing and New Venture Management at USC. I graduated at the top of my class, Phi Beta Kappa, Magna Cum Laude, Highest Honors, full fellowships, and more. I am an expert on:

Time value of money, DCF models, capital structure — Max doesn't just teach these concepts from a textbook. He's finishing his finance degree at Ohio State and heading into investment banking in Chicago, so he walks students through valuation and corporate finance problems the way practitioners actually think about them.

Holding an MBA in Finance, Darien digs into the mechanics behind concepts like time value of money, capital budgeting, and portfolio risk rather than just walking through formulas. He connects each topic to real decision-making — why a company chooses debt over equity, or how discount rates change an investment's attractiveness. Students walk away understanding the reasoning that drives financial models, not just the spreadsheet outputs.

Pursuing a joint MD/MBA, Sagar brings a quantitative rigor to finance topics like time value of money, capital budgeting, and ratio analysis that many business-only tutors lack. He walks through problems by building intuition around why formulas work, so students can adapt when exam questions change the setup.

Studying finance at NYU Stern means Sean tackles concepts like DCF modeling, capital structure, and portfolio theory in his own coursework every week. He breaks down topics such as time value of money and financial statement analysis by tying them to real company data, making abstract formulas feel grounded. His accounting background adds depth when sessions touch on how financial reports drive investment decisions.

A chemistry background might seem unrelated to finance, but Ankit's heavy quantitative training — differential equations, statistics, and data modeling — maps directly onto the math that drives concepts like compound interest, bond pricing, and amortization schedules. He approaches financial formulas the way a scientist approaches equations: by breaking each variable down until the underlying logic is clear, not just memorized.

Three decades of market research for private clients gives Stephen a practitioner's grasp of financial concepts — from discounted cash flow and capital budgeting to portfolio risk analysis. He teaches finance the way it actually gets used: building models, interpreting real data, and connecting textbook theory to how firms and investors make decisions. He holds a PhD in Economics from Rice and a 4.9 rating from students.

Bowen studied finance at the undergraduate level and brings that training directly into sessions on time value of money, discounted cash flow analysis, and portfolio risk assessment. He's especially sharp at walking through the logic behind formulas — why you discount at a particular rate, what beta actually measures — so students can solve problems they haven't seen before, not just replicate textbook examples.

Joyce is finishing her Finance degree at Penn, which means concepts like DCF modeling, capital structure, and portfolio theory aren't abstract textbook topics for her — they're problems she works through weekly. She breaks down the math behind valuation and risk analysis so the formulas actually make intuitive sense.

As a finance major at UW-Madison, Connor digs into concepts like time value of money, discounted cash flows, and portfolio risk in his own coursework every week. He explains financial models by connecting the math to real decision-making — why a company chooses one capital structure over another, or how interest rate changes ripple through bond pricing.

An economics degree provides exactly the quantitative backbone that finance concepts demand — present value calculations, risk-return tradeoffs, and interpreting financial statements all build on economic reasoning. Jessie connects these topics to the underlying models students encounter in corporate finance and investment analysis, making formulas feel purposeful rather than abstract.

Currently working in the finance and investments industry, Hardik brings live context to topics like time value of money, DCF analysis, and capital structure decisions. He teaches the math behind NPV and IRR alongside the reasoning professionals actually use when evaluating deals, which bridges the gap between textbook formulas and how finance is practiced. Rated 5.0 by students.

Elliot is heading into financial markets after graduating from UChicago's economics program, so concepts like time value of money, portfolio theory, and capital structure aren't abstract textbook topics for him — they're the tools of his upcoming career. He unpacks financial models step by step, connecting the math to real market behavior.