Research Analyst - Quant Researcher
Research Analyst - Quant Researcher
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Job Description
The 55ip Quant team is looking for a quantitative professional to research implement test and maintain the core algorithms of its technologyenabled investment platform for large investment advisory (RIA) & wealth management firms
As a Research Analyst at JP Morgan 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 technologyenabled 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 endtoend 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 endtoend unit testing and provide support during testing and post golive
- Support research innovation through the creative and thorough experimentation of cuttingedge 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
- Masters degree in computer science computational mathematics or financial engineering
- Excellent mathematical foundation and handson 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 SciKitLearn etc.
- Strong communication (written and oral) and analytical problemsolving 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
- Selfmotivated proactive responsiveability to think strategically but also willing to dig into the details and tactics
- Understanding of LaTeX and/or RMarkdown is a plus
Required Experience:
IC
Employment Type
Full-Time
