Research Analyst
Research Analyst
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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 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 onsoftware engineeringconcepts and 2 years applied experience
- Proficient in Python Git and Jira
- Masters 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
Required Experience:
IC
Employment Type
Full-Time
