Research Analyst

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible

As a Research Analyst at JP Morgan Chase within the Asset and Wealth Management Technology and 55ip 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 & 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. As a quantitative professional, your role will involve research, implement, test, and maintain the core algorithms of its technology-enabled investment platform for large investment advisory & wealth management firms.

Job Responsibilities

Involves 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 bold 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

Master's degree in computer science, computational mathematics, or financial engineering

Experience in a quantitative role with proficiency in Python, Git and Jira

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

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.)

Strong sense of attention to detail, pride in delivering high quality work and willingness to learn

Preferred Qualifications, Capabilities, And Skills

Professional experience with commercial optimizers (Gurobi, CPLEX) is a big plus

Experience in direct-indexing products 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

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.