Industry and public services

Investment, quantitative finance and market AI

This family covers the people who use models in investment research, trade execution and portfolio decisions. AI companies and the funds around them need it because a model that looks good on paper can still lose money in live markets.

More firms want machine learning inside the investment process, and more AI companies now sit inside investment decisions themselves, as targets, partners and compute buyers. The hires are tricky because a good backtest proves little. Strong candidates know how leakage creeps in, how costs eat edge, and how to say a result is weak. Most come from quantitative finance, statistics, investment research or trading systems. Few have worked across all of them.

Hiring now 4Emerging 1

Roles in this family

5 roles

Hiring nowQuantitative ML ResearcherA Quantitative ML Researcher tests investment ideas with models and builds evidence that holds up after costs and constraints. They stop the company…Hiring nowAI Portfolio Analytics ScientistAn AI Portfolio Analytics Scientist models portfolio risk and the tradeoffs behind investment decisions. They give the company reliable risk…Hiring nowAI Execution ResearcherAn AI Execution Researcher builds and tests models that decide how to trade orders under market and cost constraints. Done well, it lowers the cost…EmergingInvestment Research AI Workflow SpecialistThis person builds AI assistance for investment research where every claim links back to its source and an analyst can check it. It matters because…Hiring nowAI Investment AnalystAn AI Investment Analyst evaluates AI companies, infrastructure and compute deals. They help a fund or company decide where to put capital by…

Where the people come from

Quantitative finance, statistics, investment research or trading systems

Not to be confused with. Backtest returns do not establish future investment performance.

Core skills

  • Probability and statistics
  • Time-series modelling
  • Optimisation and operations research
  • Financial model validation

Where it is used

  • Investment and capital markets

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