Quantitative Researcher

Jane Street Jane Street · Quant · Hong Kong · Quantitative Research

Quantitative Researchers at Jane Street build models, strategies, and systems for pricing and trading financial instruments. The role involves working with experienced researchers on experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets. Researchers collaborate closely with engineers and traders, utilizing large-scale data and computing resources. The role is open to various ML techniques, from linear models to deep learning, and emphasizes curiosity, logical thinking, strong programming skills (Python), and collaboration.

What you'd actually do

  1. help us build models, strategies, and systems that price and trade financial instruments
  2. learning how we think about experiment design, dataset generation, time series analysis, feature engineering, and model building for financial datasets
  3. diving deep into market data, tuning hyperparameters, debugging distributed training performance, or studying how our model likes to trade in production
  4. applying all different types of statistical and ML techniques, from linear models to deep learning, depending on what best fits a given problem
  5. adapt their findings into actionable strategies

Skills

Required

  • Python
  • logical and mathematical thinking
  • intellectual curiosity
  • collaboration

Nice to have

  • PhD or other research experience
  • data science
  • machine learning

Other signals

  • building models
  • deep learning
  • hyperparameter tuning
  • distributed training