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Cover image for Pitch an LLM Earnings-Call Analyst to an Equity Long-Short Team
Presentation

Pitch an LLM Earnings-Call Analyst to an Equity Long-Short Team

FreeVerified credential2 weeksIntermediate

Overview

What this challenge is about.

Build an LLM workflow to analyze earnings calls, compare outputs to sell-side notes, and report hallucination metrics. Earn a verifiable certificate.

The scenario

The team (4 portfolio managers, 12 analysts) trades around USD 1.2 billion in long-short tech exposure and is under cost pressure to do more coverage with the same headcount, but is allergic to opaque AI tools.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

Show whether a retrieval-augmented LLM workflow can produce decision-grade earnings-call notes worth hiring an AI engineer to scale.

Earning criteria — what you'll demonstrate

  • Design a retrieval-augmented generation (RAG) workflow for long financial documents
  • Evaluate LLM outputs against domain ground truth with honest metrics
  • Identify and mitigate hallucination risk in a high-stakes finance use case
  • Pitch an AI product to a skeptical, results-oriented audience

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

AI and Quantitative Finance

Master · Applied Ai

Strong alignment

This challenge maps to AI and Quantitative Finance at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

Careers

Career paths this challenge builds toward

Completing this challenge demonstrates skills that transfer directly to these roles:

AI Engineer

Standing up the retrieval pipeline plus the eval harness is the AI engineer's daily work in an applied LLM team.

This challenge sharpens

  • retrieval-augmented-generation
  • llm-evaluation
  • prompt-engineering

AI Product Manager

Translating an LLM demo into a costed 90-day pilot plan for a portfolio manager is core AI PM craft.

This challenge sharpens

  • financial-analysis
  • stakeholder-communication
  • llm-evaluation

One more thing

You can put a credential on your CV by Friday.