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[free] starter pack

Free Starter Pack

A complete, real DeskPrep take-home — free. Build the Black-Scholes pricer with its full model solution and mark scheme, no account needed.

Anyone weighing up DeskPrep — sample the exact format, depth and quality of the take-homes and lecture notes before buying a pack.

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.py.ipynb.csv

01 · concepts

Core concepts

Concise, interview-relevant theory — the maths and intuition you are expected to reason from, not textbook length.

Options Pricing & Greeks

Derivatives

Black-Scholes intuition and the Greeks as risk sensitivities you can explain, not just recite.

  • From no-arbitrage to the Black-Scholes formula
  • Delta, gamma, vega and theta as desk risk levers
  • Put-call parity and replication arguments
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02 · coding guides

Practical coding guides

Practical, implementation-oriented guides for the tools each desk uses, with patterns you can apply directly.

Python for Quant Work

PYTHON

NumPy and SciPy patterns for pricing, simulation and statistics under interview time pressure.

  • Vectorised pricing and Monte Carlo
  • scipy.stats for distributions and fits
  • Writing clear, testable numerical code
read the guide →

03 · take-home tasks

Downloadable take-home tasks

Downloadable, recruiter-style exercises with mark schemes — the core of DeskPrep.

PYTHONbeginner

Black-Scholes Pricer

Finish a European option pricer, derive d1/d2 and return the Greeks for a given parameter set — with the full model solution and mark scheme included free.

Quant Research~40 min

Free — download the starter, model solution and mark scheme. No account needed.

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04 · interview playbook

Interview playbook

What interviewers actually test, the question styles to expect, common mistakes, and how to structure strong answers.

How quant interviews are structured

The typical loop — probability, brainteasers, coding and a research or pricing discussion.

  • What each round is really testing
  • Balancing speed with rigour
  • Signalling research maturity
read the guide →
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