Team Background Business Intelligence
The mission of the global Business Intelligence ( BI ) team is to apply creativity, rigor, and data-driven thinking to help plan and execute the business growth of J.
P. Morgan Asset Management. Our work is a blend of strategy, technology, data analysis, and execution with a key focus on defining data-driven distribution strategies for J.
P. Morgan Asset Management.
In this role, you will be integral to advancing the firm’s ability to make data-driven decisions. You will focus primarily on the APAC distribution business and will be building out the BI data capabilities across the various markets, requiring strong stakeholder management and leadership abilities.
A strong understanding of both the nuanced data processes and the varying business models across APAC Asset Management will be vital to your success.
The role will require in-depth data exploration and manipulation, partnership with technology and various data teams, the ability to drive strategic vision and execution with management, and a strong sense of entrepreneurialism.
Your Primary responsibilities will include :
In-depth exploration of data processes and accompanying business models
Working with technology teams to define data strategy and build client-360 data models
Partnering with APAC senior distribution and business partners to drive distribution strategy
Developing enablement tools that align to distribution strategies and key objectives
Conducting data analyses and prototyping basic statistical or machine learning models
Strategic projects with high business impact
Fostering a data-driven, innovative culture
At least 5+ years of experience in roles within the fields of business strategy, consulting, technology, data analysis, and / or asset management
BA / BS degree majors or minors in business, engineering, computer science, data science, finance, or related fields. Graduate level education preferred
A strong understanding of the APAC Asset Management industry
The ability to write code and conduct data science analyses (e.g. SQL, Python)
Strong proficiency with Excel and all other Microsoft Office applications
Strong communication / interpersonal skills
Experience in managing a team
A passion for technology, financial services and asset management
A willingness to approach problems from first principles, with the support of rigorous quantitative and qualitative analyses
A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity