Python Quant Researcher- Tech-Driven Prop Trading Firm Python Quant Researcher- Tech-Driven Prop Trading  …

Oxford Knight
à Londres, Angleterre, Royaume-Uni
CDI, Plein-temps
Dernière candidature, 30 sept. 19
Competitive
Oxford Knight
à Londres, Angleterre, Royaume-Uni
CDI, Plein-temps
Dernière candidature, 30 sept. 19
Competitive
Python Quant Researcher
As a Quantitative Researcher, you will have an opportunity to solve challenging problems arising in a trading environment while utilizing statistical scientific algorithms and mathematical modelling techniques. You will work closely with traders and researchers to build and refine trading tools and strategies.

How you will make an impact:
  1. Create practical solutions to problems presented in the trading environment
  2. Implement Natural Language Processing / ML / Deep Learning
  3. Time series analysis
  4. Algo Design
  5. Create long/short-term alphas
  6. Conduct statistical analysis of market data, historical trends, and relationships across multiple asset classes
  7. Formulate and apply mathematical modelling and quantitative methods to identify and capture trading opportunities

Requirements:
  1. A master's or PhD in a technical discipline, with a focus on Statistics, Optimization, Quantitative Finance or related fields
  2. Proficient Python programming skills with experience exploring large datasets
  3. Strong analytical and problem-solving skills, including a solid foundation of statistics knowledge
  4. Working knowledge of probability theory, stochastic calculus and numerical algorithms, such as finite differences, Monte Carlo simulation, etc.
  5. Some exposure to Natural Language Processing and/or high-performance computing is a plus
  6. Excellent written and verbal communication skills to report research results as well as methodologies


Contact
If you feel you are a good match, please don't hesitate to get in touch.

George James
07377 667533
george@oxfordknight.co.uk
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