Quant and market roles
Prepare for market making questions with an original payoff/edge calculation and inventory explanation, a worked case, assumptions and evidence checks.
01 / UNDERSTAND THE CONTEXT
A market-making preparation exercise can test probability, uncertainty and inventory reasoning. This guide uses a fictional binary payoff. It is not a real market quote or a claim that a positive modeled edge is a guaranteed profit.
The preparation question is: what assumptions support the value, and what risk changes when another trade is added? Use the job description and your actual responsibility to choose what to practice. The worked article supplies an inspectable artifact; this landing page connects it to preparation, application evidence and a next-resource decision.
All numerical scenarios are original fictional exercises. They are not employer question banks, client results, verified market data or a guarantee of hiring. Separate a case calculation from a conclusion that requires contracts, current records or an authorized decision.
Choose evidence that fits the actual mandate, rather than a generic list of finance keywords.
A market-making preparation exercise can test probability, uncertainty and inventory reasoning. This guide uses a fictional binary payoff. It is not a real market quote or a claim that a positive modeled edge is a guaranteed profit.
Question the probability estimate, adverse selection, fee convention and inventory constraints. The fair-value calculation is only one input to a quoting decision.
State the payoff, probability and fee conventions, then explain the uncertainty and inventory consequence. Ask what evidence would change the quote.
02 / BUILD YOUR APPROACH
Build a payoff/edge calculation and inventory explanation and test whether another reader can reproduce your explanation.
What assumptions support the value, and what risk changes when another trade is added? List the given quantities, dates and definitions before introducing an assumption.
Modeled expected payoff is 0.62. Expected payoff minus price and fee is 0.62 − 0.60 − 0.005 = 0.015 per unit under the supplied probability. That expectation is not a certain trade outcome.
At a 59% probability with the same price and fee, modeled expected edge becomes 0.59 − 0.60 − 0.005 = −0.015. Buying 20 more units at the original modeled fair value adds 12.4 of fair-value exposure, not a defined VaR.
Treating a probability estimate as certainty, ignoring the existing position or conflating expected edge with a risk limit removes the main judgment.
State the payoff, probability and fee conventions, then explain the uncertainty and inventory consequence. Ask what evidence would change the quote. Identify the source, owner and next evidence request; do not invent authority.
03 / SEE IT IN PRACTICE
The purpose is to make the reasoning inspectable, not to imply professional execution or a verified result.
Case or question
Modeled expected payoff is 0.62. Expected payoff minus price and fee is 0.62 − 0.60 − 0.005 = 0.015 per unit under the supplied probability. That expectation is not a certain trade outcome.
A defensible explanation
Question the probability estimate, adverse selection, fee convention and inventory constraints. The fair-value calculation is only one input to a quoting decision.
The weak inference
Treating a probability estimate as certainty, ignoring the existing position or conflating expected edge with a risk limit removes the main judgment.
Case or question
At a 59% probability with the same price and fee, modeled expected edge becomes 0.59 − 0.60 − 0.005 = −0.015. Buying 20 more units at the original modeled fair value adds 12.4 of fair-value exposure, not a defined VaR.
A defensible explanation
State the payoff, probability and fee conventions, then explain the uncertainty and inventory consequence. Ask what evidence would change the quote.
The weak inference
Treating a scenario as an observed outcome or suppressing its assumptions makes the comparison unreliable.
Case or question
Use a payoff/edge calculation and inventory explanation as a clearly labeled educational or professional work description, depending on what you actually did.
A defensible explanation
State your contribution, the data or facts you were permitted to use, the method and the boundary of your responsibility. A project should remain labeled as a project.
The weak inference
Presenting the fictional case as a client assignment, realized investment result or employer decision invents proof.
A concise answer can still preserve its definitions and uncertainty.
Use support for a named gap
The existing trading playbook supports preparation; it is not a live trading strategy or employer assessment. Start with the free case and determine whether the gap is analysis, explanation or application positioning.
Any current price and included work belong to the existing destination; this guide introduces no new product, price or service capacity.
Question the probability estimate, adverse selection, fee convention and inventory constraints. The fair-value calculation is only one input to a quoting decision.
At a 59% probability with the same price and fee, modeled expected edge becomes 0.59 − 0.60 − 0.005 = −0.015. Buying 20 more units at the original modeled fair value adds 12.4 of fair-value exposure, not a defined VaR. Explain the change and the information still missing.
The existing trading playbook supports preparation; it is not a live trading strategy or employer assessment. The fictional exercise does not establish employer requirements, professional authority, realized performance or a hiring outcome.
Complete a payoff/edge calculation and inventory explanation, answer the follow-up and decide which evidence is still missing.
The main technical interview hub for accounting, valuation, DCF, M&A, and LBO prep.
How to answer accretion dilution interview questions in investment banking. Learn the mechanics, what actually drives EPS accretion, and the follow-ups interviewers use to separate real understanding from memorization.
Why precedent multiples are higher than trading comps, when to use each method, and how to answer the 5 most common follow-up questions in IB interviews.
How to learn DCF for investment banking interviews in the right order. Master the forecast, unlevered free cash flow, WACC, terminal value, and the common traps that make candidates sound memorized.
Enterprise value vs equity value explained for investment banking interviews. Learn the bridge, the multiples logic, and the follow-up questions candidates routinely miss.
How to answer WACC interview questions in investment banking. Understand what WACC means, how it is built, what changes it, and the follow-ups interviewers use to expose memorized candidates.
The merger model interview questions candidates get in investment banking interviews. Learn the concepts behind pro forma EPS, synergies, purchase accounting, and the follow-up questions that usually decide the round.
The characteristics of a good LBO candidate explained for investment banking and private equity interviews. Learn the logic behind stable cash flow, low capex, margin upside, and other common answers.
How to walk through the three financial statements in an investment banking interview. Learn the simple structure, how the statements link, and the follow-ups candidates most often miss.
The most frequently asked technical questions in IB interviews, accounting, valuation, DCF, M&A, and LBO, with concise answers that demonstrate real competence.
Accounting → Valuation → DCF → M&A → LBO: why sequence matters more than study time.
Practice a concise DCF interview answer, then explain the assumptions behind cash flow, WACC, terminal value and the enterprise-to-equity bridge.