Job ref no.: CT3114386-01#4855

CIB V Equities Quantitative Strategy V Analyst

JP Morgan Chase

The candidate’s key responsibilities would include:

  • Perform large-scale analysis on proprietary datasets
  • Identify new insights that drive feature modelling
  • Build prototype models (Python) with data pipelines to test trading ideas
  • Leverage data visualization to communicate data insights and results
  • Write research reports on the findings and results of these prototypes
  • Present the research reports to clients
  • Ongoing desk support and request work
Candidate description:
The ideal candidate brings quantitative experience in the Equities (products, models, market standards and business practices), combined with a background in machine learning techniques / statistics, and a curiosity to expand in this field.
Communication skills and drive are critical for the role as we expect the candidate to work with the team to develop new trading ideas and communicate these to clients both in writing and in person.
  • A degree program in computer science, statistics, operations research or other quantitative fields
  • Strong technical skills in data manipulation, extraction and analysis
  • Fundamental understanding of statistics, optimization and machine learning methodologies
  • Mastery of software design principles and development skills using Python and SQL.
  • Confident in technology in particular around data management. Knowledge in KDB and Big Data solutions such as Hadoop/Spark, Hive etc advantageous
  • Experience in working with equity specific alternative data sets and traditional fundamental data
  • Experience with data vendors like Bloomberg and Factset will be useful
  • Previous practical experience in solving machine learning problems using open-source packages (sklearn…)
  • Experience in TensorFlow or other related packages is advantageous
  • Participation in KDD/Kaggle competition or contribution to GitHub highly desirable
  • Strong communication skills (both verbal and written) and the ability to present findings to a non-technical audience


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More job information
Job ref no. CT3114386-01#4855
  • N/A
Job Function
  • 0 year - 5 years
Career Level
  • Non-management level
  • Degree