About J.P. Morgan Corporate & Investment Bank
J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader in Banking. The world’s corporations, governments and institutions entrust us with their business in more than 100 countries. The Corporate & Investment Bank supports our clients around the world providing strategic advice, raising capital and managing risk.
Who are we looking for?
The ROAR group within J.P. Morgan CIB Data Science is building infrastructure to support a fundamentally new way of approaching data science problems. We are quite unlike a traditional data science group and, rather than assuming human managers are the best organizing principle, experiment with new techniques for achieving Collective Intelligence as it applied to prediction and real-time decision making. Our flagship project is a novel crowd-sourcing platform to be launched mid 2018.
We are building a lattice on which, seemingly, every major idea in Machine Learning and Statistics finds a novel spin. This is an engineering and scientific greenfield project requiring careful formulation of statistical, cryptographic and technological problems. It rewards broad peripheral knowledge of applied mathematics, not just recent buzzwords. Tackling our problems will involve significant trial and error, customer feedback and iteration. In exchange for this significant upfront effort we believe we can deliver dramatic cost savings and greater accuracy driving a dramatic lift across dozens if not hundreds of business lines. In addition, you will collaborate with top tier universities helping us pursue civic applications of the new paradigm we are seeking to prove out. You will be joining highly motivated people pursuing this vision, some of whom have founded companies and sold technology to hedge funds, banks and brokerages.
Build product test strategies, write and execute test plans, file bugs, and communicate with the team about issues, risk, and product quality
Identify and execute on opportunities to improve the QA process
Help educate others in Engineering and Product on testing and QA; work with them to determine product quality goals and measurements
Work with ROAR Data engineering teams, data scientists and business users to triage inbound bug reports and reproduce reported issues
Expand our end-to-end automated test coverage (optional and time permitting)
You have at least 5 years of experience in Quality Assurance
You are passionate about the field of Quality Assurance and excited to grow and develop a career within QA
You have a general facility with technology, and you are able to learn new technologies quickly
You have a dedication to quality with a positive, collaborative attitude and approach to testing
You are extremely self-motivated; able to find opportunities for improvement and tackle them, without external direction