Research Analyst - Quant Researcher

The 55ip Quant team is seeking 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 Morgan Chase within the Asset and Wealth Management and the 55ip Quant team, you will play a crucial role in researching, implementing, testing, and maintaining the core algorithms of the technology-enabled investment platform. This position offers the opportunity to contribute significantly to research projects and grow as an independent researcher. If you have a background in statistical models, software design constructs, and tools, possess strong problem-solving skills, are a motivated team player, and are eager to make a meaningful impact, then this role could be an ideal fit for you. Responsibilities: - Engage in end-to-end research, development, and maintenance of investment algorithms - Contribute to the development and maintenance of optimization models, participate in building the research and development framework - Review investment algorithmic results thoroughly and contribute to the design of the research data platform - Explore datasets for use in new or existing algorithms, engage in agile practices, and collaborate with stakeholders to gather functional requirements - Participate in research and code reviews, adhere to high-quality coding standards and best practices, conduct comprehensive end-to-end unit testing, and offer support during testing and post go-live stages - Drive research innovation through creative and comprehensive experimentation of cutting-edge hardware, advanced analytics, machine learning techniques, and other methodologies - Work in collaboration with technology teams to ensure the alignment of requirements, standards, and integration Required Qualifications: - Experience in a quantitative role - Proficiency in Python, Git, and Jira - A Master's degree in computer science, computational mathematics, or financial engineering - Strong mathematical foundation and practical experience in the finance industry - Proficiency in quantitative, statistical, and machine learning/artificial intelligence techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc. - Excellent communication skills (both written and oral) and analytical problem-solving abilities - Strong attention to detail, commitment to delivering high-quality work, and a willingness to learn - Understanding of financial capital markets, various financial instruments (e.g., stocks, ETFs, Mutual Funds), and financial tools (e.g., Bloomberg, Reuters) - Knowledgeable in SQL Preferred Qualifications: - Professional experience with commercial optimizers (e.g., Gurobi, CPLEX) is advantageous - Ability to adapt quickly to time-sensitive requests - Self-motivated, proactive, responsive, with strategic thinking capabilities while also being willing to delve into the specifics and tactics - Understanding of LaTeX and/or RMarkdown would be a plus,