Research Analyst

6 days ago

Mumbai, Maharashtra, India JPMorganChase Full time ₹ 5,00,000 - ₹ 20,00,000 per year
Description

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 & wealth management firms

As a Research Analyst at JP Morgan Chase within the Asset and Wealth you will have the opportunity to research, implement, test, and maintain the core algorithms of our technology-enabled investment platform for large investment advisory & 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

  • Involves in end-to-end research, development, and maintenance of investment algorithms
  • Contributes to development and maintenance of optimization models, take part in building out the research and development framework
  • Vets investment algorithmic results thoroughly and contributes to the research data platform design
  • Investigates datasets for use in new or existing algorithms, participate in agile practices and liaise with stakeholders to gather & understand the functional requirements
  • Takes 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
  • Supports research innovation through the creative and thorough experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methods
  • Collaborates with technology teams to ensure appropriate requirements, standards, and integration

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 2+ years applied experience
  • 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 an added advantage
  • 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

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