• Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Credit Suisse -
  • 15 Oct 18

Research Analyst, QIS – Asset Management

We Offer
Executive summary of the job's core purpose:
  • Credit Suisse Quantitative Investment Strategies is seeking an Analyst/Associate to participate in its investment strategies research efforts in quantitative algorithmic, quantitative discretionary, and risk allocation strategies across global markets.
  • The role provides a rare opportunity to cross-asset market exposure. Moreover, for those demonstrating initiative and diligence an opportunity to impact investment allocations.
  • Discover structural equations descriptive of data series.
  • Formulate hypotheses on the drivers of asset returns.
  • Apply rigorous scientific approach to experimental testing of hypotheses.
  • Author python code which drives QIS investment processes.
  • Design and research algorithms and methodologies to refine signal discovery and risk allocation processes.
  • Drive refinement and delivery of technology infrastructure improvements.


You Offer
List qualifications, skills and experience expected in you:
  • You should have 1-5 years of experience in conducting empirical research and working with large datasets.
  • You should understand specific transactional specifications of financial instruments and be familiar with building trading algorithms across multiple asset classes.
  • You should possess a deep understanding of econometrics, statistics, optimization, and portfolio theories. (Machine Learning and Natural Language Processing knowledge not required but desirable)
  • You should hold an excellent grasp of economic theory and proficiency in formulating ideas mathematically.
  • You should bring incredible programming skills in python and SQL. (R and Matlab not required but desirable)
  • You should have unquenchable work ethic, be highly organized, meticulous, and accountable to deliver results under tight deadlines.
  • You should be a persistent questioner, deep thinker, creative experimentalist.
  • You should demonstrate authentic enthusiasm for achieving outstanding risk adjusted performance.
  • You should prove capable of articulating complex quantitative methods in qualitative and intuitive ways.