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 applying expertise in experiment design, dataset generation, time series analysis, feature engineering, and model building to financial datasets. Researchers collaborate with engineers and traders, working with large datasets and GPU clusters. The position is open to various statistical and machine learning techniques, including deep learning, and requires strong programming skills in Python and a curious, collaborative mindset.

What you'd actually do

  1. build models, strategies and systems that price and trade financial instruments
  2. apply your experience in experiment design, dataset generation, time series analysis, feature engineering and model building to financial datasets
  3. collaborating with colleagues who will challenge and refine your approach
  4. diving deep into market data, tuning hyperparameters, debugging distributed training performance or studying how our model likes to trade in production

Skills

Required

  • Python
  • logical and mathematical thinking
  • experiment design
  • dataset generation
  • time series analysis
  • feature engineering
  • model building

Nice to have

  • deep learning
  • quantitative research
  • collaboration

Other signals

  • quantitative research
  • model building
  • deep learning
  • financial datasets
  • time series analysis
  • feature engineering