Quantitative Research - Data Analytics - Analyst

JPMorgan Chase & Co.•New York, NY

About The Position

Data and analytics play critical roles for management in navigating today’s complex business environment. This is an beginner level data role within the Macro Quantitative Research (QR) team at JP Morgan. The role offers opportunities to work on a variety of data and quantitative macro trading and sales business problems. The team's mission is to bring data-driven decision making and automation to the Macro business. Job Summary: As an Associate in the Data and Analytics Rates team, you will hold a highly visible position within a specialized group of data analysts. You will need to possess analytical insight, strong data discipline, a solid understanding of technology, robust business acumen, and an entrepreneurial spirit to effectively execute and promote results. Additionally, strong communication skills and the ability to bridge the gap between technology, QR, and business users are essential.

Requirements

Advanced degree in quantitative subject (such as engineering, mathematics, physics)
Demonstrable quantitative, problem solving, research and analytical skills
Solid software development skills
Attention to detail and excellent communication skills, both oral and written

Nice To Haves

Familiarity with kdb, and amazon aws cloud
JPMorgan execution systems and trade booking model knowledge
Markets product knowledge / experience
Dashboard visuals experience such as Tableau
AI / ML experience
Derivatives pricing knowledge

Responsibilities

Work with the CEM and Rates Trading, Sales and QR to understand solutions needed to solve business problems
Understand and refine current data architectures to persist critical business data across all business lines
Drive standardization across processes and reporting. Suggest and implement controls to improve efficiency & accuracy of existing processes
Develop and enhance existing key management performance analytics and reporting
Help develop predictive analytics to detect changes in data patterns that may be precursor to changes in our business
Pro-actively drive adoption and rollout of business intelligence tools and data APIs.
Develop and maintain models, methodologies and infrastructure such as data pipelines, and associated visuals needed for data projects
Develop data-driven decision making analytics with demonstrable impact