• Job Description

  Req#: 210633043

  The 55ip Quant team is looking for a quantitative professional to research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory (RIA) & wealth management firms

  As a Research Analyst at JP Morn Chase within the Asset and Wealth Management and the 55ip Quant team, you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory (RIA) & wealth management firms. If you have a background in statistical modules using software design constructs and tools, are motivated, a problem solver, and an effective team player looking to make a significant impact in supporting research projects, this role could be a perfect fit for you. This position offers the chance to grow as an independent researcher.

  Job responsibilities

  • Involve in end-to-end research, development, and maintenance of investment algorithms
  • Contribute to development and maintenance of optimization models, take part in building out the research and development framework
  • Thoroughly vet investment algorithmic results and contribute to the research data platform design
  • Investigate datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements
  • Take part in research & code reviews , develop code using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
  • Support research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods
  • Collaborate with technology teams to ensure appropriate requirements, standards, and integration

  Required qualifications, capabilities, and skills

  • Experience in a quantitative role
  • Proficient in Python, Git and Jira
  • Master’s degree in computer science, computational mathematics, or financial engineering
  • Excellent mathematical foundation and hands-on experience working in the finance industry
  • Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
  • Strong communication (written and oral) and analytical problem-solving skills
  • Strong sense of attention to detail, pride in delivering high quality work and willingness to learn
  • An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)
  • Knowledgeable in SQL

  Preferred qualifications, capabilities, and skills

  • Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus
  • Able to shift gears and react quickly to timely requests
  • Self-motivated, proactive, responsive-ability to think strategically but also willing to dig into the details and tactics
  • Understanding of LaTeX and/or RMarkdown is a plus

• About the company

  J.P. Morgan is a leader in financial services, offering solutions to clients in more than 100 countries with one of the most comprehensive global product platforms available. We have been helping our clients to do business and manage their wealth for more than 200 years. Our business has been built upon our core principle of putting our clients'​ interests first.

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