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Quant & Alternative Data Analysts

Labor Market Data for Investment Professionals

Mean willingness to pay for quant funds: $131K/year, the highest of any buyer segment

Hiring velocity as an economic leading indicator with SOC-level granularity

Hedge funds and investment firms use job posting data as alternative economic indicators. Hiring velocity, salary trends, and skills demand shifts provide early signals of company health and sector momentum that traditional financial data misses. Raw scraped data is too noisy to trust: 40-60% of postings are duplicates across sources.

Common Challenges

✕Raw job posting feeds from aggregators double-count the same opening, corrupting hiring velocity signals
✕No consistent company identifier across sources makes firm-level aggregation unreliable for systematic signals
✕Job titles are unstructured: 'SWE II', 'Software Engineer 2', and 'L4 Engineer' are the same role but look like three
✕Historical data before 2023 is sparse or dirty, making backtesting unreliable without a deduplicated archive

How Canaria Helps

  • ✓Canonical job entities with first-seen and last-seen timestamps, deduplicated across 200K+ sources
  • ✓6-digit SOC codes for precise occupational analysis across sectors, geographies, and time periods
  • ✓Historical archive from 2022 with daily incremental updates for reliable time-series backtesting
  • ✓40-60% deduplication rate removes the noise that inflates raw job counts and corrupts hiring signals

Example Use Cases

  1. 1Backtest hiring velocity signals versus stock returns using 900M+ canonical postings from 2022 to present
  2. 2Build sector rotation signals using SOC-level hiring surges and declines across 6-digit occupations
  3. 3Track company headcount proxies using first-seen and last-seen timestamps on canonical job entities

Relevant Data Fields

socsocTitlecompanyNamecompanyIndustrysalaryAvgAnnualcorrectDateremotefinalState

These are a subset of the 82 fields available in every Canaria record.

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