Associate Asset Management: Business Intelligence and Advanced Analytics
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Mumbai, Maharashtra
Job Summary:-
J.
P.
Morgan Asset Management is a global leader in Investment and Wealth Management services with assets under management of $2.
1 trillion.
Investment Management offers variety of products to institutional and retail clients across Fixed Income, Equity, Real Assets and Asset Allocation through various sales channels, i.
e.
, Institutional and Funds Management (including top pension plans, insurance companies, sovereign wealth funds, endowments, foundations, central banks and direct and third-party distributors)
Team Description
Business Intelligence team is part of Asset Management’s Global Sales Enablement organization.
The mission of the 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 and marketing strategies for J.
P.
Morgan Asset Management.
In this role, you will be expected to apply your marketing and data science background in order to make important contributions across a diverse array of projects.
The role will require in-depth data manipulation, exploration, and analysis.
We are a highly collaborative team – so you will have significant potential for learning and impact.
Functional Responsibilities:Partnering with distribution stakeholders to identify opportunities for leveraging advanced analytics
Partner with Portfolio Models distribution, products and marketing stakeholders for advanced analytics solutions
Embed analytics process in organizational decision making: descriptive, diagnostic and predictive analytics to drive better business outcomes
Building analytical frameworks for marketing measurement – A/B testing, campaign ROI, cost of acquisition modeling, lifetime value, etc
In-depth data exploration and data mining to develop a deep understanding of client behavior
Contributing to and enhancing data models and feature stores
Leveraging machine learning models and techniques to target opportunities and optimize processes
Developing tools and solutions to measure model performance over time
Fostering a data-driven, innovative culture
Qualifications:
MBA o
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