Careers

Research @ Quant

What you’ll do:

  1. Timeseries analytics (Python, SQL)
  2. Machine learning (regression, random forest, XG boost, CatBoost, etc.)
  3. Think creatively to solve difficult problems and overcome/avoid statistical bias

Requirements

  • Pursuing undergraduate/graduate degree in Applied Math, Statistics/ML, Physics, Computer Science, or similar
  • Proficiency in advanced data research & modeling using Python and/or SQL
  • Extensive knowledge and expertise designing statistical inference models and predictive analytics
  • Extensive knowledge and experience with high-volume high-dimensional data modeling
  • Deep insights into global financial exchange micro-structure and micro-behavior

Trading @ Quant

What you’ll do:

  1. Options pricing and hedging
  2. Monte carlo simulations to determine portfolio growth/slippage
  3. Manage risk

Requirements

  • Analyze market data to spot trading opportunities
  • Manage risk and supervise trades
  • Create data driven systematic trading strategies
  • Stay updated on changing market dynamics
  • Develop risk management models
  • Contribute towards the development of systems to spot trading signals
  • Help improve margins and profitability

Data @ Quant

What you’ll do:

  1. Data engineering and optimization
  2. Develop algorithms and processes that scale efficiently
  3. Think creatively in an entrepreneurial environment

Requirements:

  • Undergraduate or other professional degree/certification in Computer Science, Computer Engineering, w/ a focus on Data Engineering
  • Programming concepts including data structures, algorithms, and OO programming
  • One or more of the following languages: Python, C++, Java, JavaScript, C#, R
  • Experience with SQL databases: usage, design, and scalability
  • Experience with databases, ETL processes, and the usage, design, and scalability of CRUD processes

Software @ Quant

What you’ll do:

  1. Develop APIs
  2. Collaborate with teams in a fast-paced student environment
  3. Leverage knowledge of data structures and algorithms to build complex systems

Requirements:

  • Keen understanding of development processes like OO and TDD, in a lightweight Agile environment
  • Comfort in multi-thread + multi-core paradigms and hardware/software interaction
  • Pragmatic attitude to problem solving and ability to balance engineering complexity with time-to-market
  • Big picture thinking: ability to distill core dynamics from code machinery and durable architectural design