ML Engineer MasterClass (October) | 4 seats left

Design an Algorithmic Execution System

Design an Algorithmic Execution System

Free concept previewThe full case walkthrough and interview practice continue below.

Requirements and Constraints

Design challenge: Design an algorithmic execution system that receives large parent orders from quantitative strategies, slices them into child orders using execution algorithms (TWAP, VWAP, Implementation Shortfall), routes them to exchanges and dark pools with microsecond-level latency, and tracks order state in real time.

Every quantitative trading firm sits on the same problem: a portfolio manager or automated strategy wants to buy 500,000 shares of AAPL, but dumping that into the market in one shot would move the price against you. The execution system's job is to work that order intelligently over time, minimizing market impact while tracking every fill with precision.

Unlock Premium

Continue with the full applied walkthrough

Continue Design an Algorithmic Execution System with the applied case study, diagnostic checks, and the recommendation you would give a PM.

Work through the complete product case
Build the study design step by step
Interpret diagnostics and results
Practice a senior-level interview response

Realistic product cases inspired by

Google logo
Meta logo
Amazon logo
Netflix logo
Apple logo
Dan Lee

Built from a senior data scientist’s perspective

Learn what to check, what to say, and how to make the decision.

Unlock the applied lesson

Premium includes every course, applied case, and coding exercise.