Award-Winning Finance Tutors
serving Riverside, CA

Time value of money, present and future value calculations, annuity pricing — finance leans heavily on the kind of quantitative reasoning Irene has taught for years. She unpacks the math behind financial formulas so students understand what each variable actually does, rather than blindly plugging numbers into a calculator.

Present value, risk-return tradeoffs, capital structure — finance is where economic theory meets real decision-making. Ryan's economics degree provides the quantitative and conceptual backbone these topics require, and he's comfortable walking through everything from time-value-of-money calculations to interpreting financial statements. He holds a 5.0 rating from students.

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 the University of Illinois's College of Business, Jonathan unpacks concepts like time value of money, net present value, and basic portfolio theory with concrete, numbers-driven examples. He reads the Wall Street Journal daily, which means he can tie textbook formulas to what's actually happening in markets right now.

Conor earned his finance degree alongside his math degree at the University of Pittsburgh, so he tackles topics like discounted cash flow, portfolio theory, and capital structure with real mathematical fluency. He connects the formulas to the logic behind them, which makes valuation models and risk analysis click instead of feeling like rote plug-and-chug.

Andrew teaches finance as an adjunct professor, which means he's constantly explaining time value of money, capital budgeting, and risk-return tradeoffs to students encountering them for the first time. His engineering background adds a quantitative rigor that's especially useful when students hit DCF models or weighted average cost of capital calculations. Rated 4.8 by students.

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.

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.

Intensely curious, I am interested in STEM subjects and the liberal arts. I tutor to help you reach your educational goals and because it's immensely gratifying to see my students succeed.

Political science trained Reid to think about how institutions, incentives, and policy shape economic outcomes — a lens that translates well to finance topics like risk assessment, time value of money, and capital allocation. He approaches financial concepts methodically, breaking formulas into the logic behind them rather than treating them as black boxes.

An English degree might seem like an unlikely path into finance, but Andrew's economics tutoring experience and strong quantitative instincts — evidenced by a 1560 SAT and 35 ACT — mean he's comfortable breaking down the math that underpins topics like compound interest, loan amortization, and basic valuation. He approaches finance the way a careful reader approaches a text: pulling apart each component to see how the pieces fit together, which is especially useful for students who find purely formula-driven instruction hard to follow.

A master's in Finance means Alex can dig into time value of money calculations, capital budgeting, and portfolio theory with real fluency — not just textbook definitions. He connects financial models to how actual firms make investment and funding decisions, which makes concepts like WACC and DCF analysis click faster.