Analytics Solutions - Senior Associate

JPMorgan Chase • Seattle, WA

72d

About The Position

As a Senior Associate of Analytics Solutions at the global banking data team, you will assist the product owners in support of product development lifecycle management in close liaison with JPMC Data Science and Data Engineering partners. This role is part of the product development team within the Digital, Data and Product organization. The product development team specializes in knowledge of business identity, performance metrics, AI/ML-powered programs and data assets in both on-premises and cloud environment. The JPMC Global Banking delivers extensive industry knowledge, local expertise, and seamless global capabilities to clients —including corporations, municipalities, financial institutions, real estate investors/ owners, and not-for-profit organizations — with annual revenue generally ranging from $20 million to $2 billion. We offer a comprehensive set of financial products and services including commercial banking, treasury services, credit, asset-based lending, and real estate finance. We also provide clients with access to the full suite of investment banking and asset management services.

Requirements

• Master's degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Experience working with commercial data and AWS platform/programming tools (preferred).
• Experience in financial services, big data, technology, or relevant startup environment.
• Ability to communicate with both technical and non-technical business partners with ease, adjusting communication style based on the audience.
• Strong project management skills - the ability to manage multiple projects and prioritize work requirements in a multi-disciplinary team setting.
• Ability to work effectively in cross-functional teams.

Nice To Haves

• Project Management skills.
• Excellent business and interpersonal communication abilities.

Responsibilities

• Support the data development team in all aspects of product development lifecycle management.
• Consult on product features to guide algorithm design and problem solving.
• Manage projects including Sprint planning and daily standups.
• Document newly developed data assets and manage data distribution.
• Engage with Data Science and Data Engineering partners to develop and implement new products/features, resolve issues, and make recommendations.
• Improve core competency and processing efficiency via agile process best practices and sustained collaboration with all team members and partners.

What This Job Offers

• Career Level: Senior
• Industry: Credit Intermediation and Related Activities
• Education Level: Master's degree