Job Description:
Quantitative R&D team is looking for a software developer to implement, test, and maintain the quant platform that provides end-to-end capabilities of a large scale historical & forward-looking simulation framework The ideal candidate has the ability for full stack software development with a focus on building scalable back testers and working with large volumes of data Candidates are motivated, problem solvers, team players, and effective developers who want to make a big impact
Qualifications:
Formal training or certification on software engineering concepts and 2+ years applied experience
Knowledgeable in Python, Pandas, Numpy, GitHub/Bit-Bucket, Jenkins, Jira, SQL, and PostgreSQL
Clear understanding of OOP and software design constructs within a Python context
Knowledgeable in various aspects of software development lifecycle, especially Agile Scrum.
Exposure to AWS or other cloud based is a strong plus
Exposure to financial capital markets data is a plus
Bachelor’s degree (or equivalent) in Computer, Electronic or IT Engineering
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
Agility: Able to shift gears and react quickly to timely requests
Hustle: Self-motivated, proactive, responsive, and willingness to dig into the details
Jpmorgan Chase Bank N.a is looking for B.E. / B.Tech , M.E. / M.Tech profile candidates.
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