Auto Data Science Associate

2 weeks ago


Bengaluru, India JPMorgan Chase & Co. Full time
Chase Auto Analytics – Data Science Associate
About Chase:
Chase is the . Consumer and Commercial Banking business of JPMorgan Chase & Co. (NYSE: JPM), a leading global financial services firm with assets of $2.5 trillion and operations worldwide. Chase serves nearly half of America's households with a broad range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. Customers can choose how and where they want to bank: 5,200 branches, 16,000 ATMs, mobile, online and by phone. For more information, go to .
The Team:
Chase Data & Analytics Team unifies data and analytics talent across Chase to responsibly leverage data to build competitive advantages for our businesses with value and protection for customers. The Auto D&A team utilizes data, analytics, visualization and advanced analytics to drive meaningful impacts for our customers, dealers and partners. We approach problems inquisitively and with a desire to find solutions in our data. Our culture values pragmatism, honesty, and simplicity to solve hard problems the right way. We believe that Analytics should drive business decisions across the company in order to keep our products simple, joyful, and delightful.
The Position:
We are seeking a Data Science Associate to join our journey of making servicing and collections for our Auto financed customers smooth and effective using advanced analytics. The ideal candidate will be someone who can take charge, do creative problem solving, deliver on commitments, and help to drive advanced analytics and deliver on valuable business insights.
In this role you will be part of a high caliber analytics team charged with the responsibility of driving business performance using insightful data analytics. You will be expected to use latest analytical tools and techniques to continuously optimize every aspect of the business including portfolio performance, operational efficiency, agent productivity, customer digital engagement etc.
This position will primarily focus on creating a full end to end strategic analytic solutions that will help the business optimize and improve their strategies in servicing and collections. The role will also require you to engage with US stakeholders on a frequent basis and drive the initiative single-handedly with minimal support from India team.
Specific primary responsibilities include:
Ability to understand, synthesize and align to evolving business priorities and deliver on strategic solutions that drive successful execution on those priorities.
Design and develop views that efficiently summarize performance metrics and KPIs and provide self-serve capability to the end-users in intuitive and meaningful ways.
Coordination with multiple business partners to ensure that all business needs and projects are appropriately identified, prioritized and executed. Manage delivery in agile format.
Collaborate with data scientists, business analysts and IT partners to drive impactful solutions to help our business leaders obtain interactive data insights and make meaningful decisions.
Provide strategic partnership on executing on data strategy that promotes modern data architecture, governance and democratization of data access.
Provide positive and consistent work environment for everyone.
Required Qualifications:
Experience with big data technologies and programming languages in SQL, Python- At least 2-3 years of experience is required.
Expertise in advanced analytics
Prior exposure to financial industry is a plus. Although not a mandatory requirement
Solid proficiency in written and oral communication, presentation skills – client communication, story building, charts preparation etc.
Ability to perform independent research and discovery around data environments, processes and tools and provide impactful solutions.
Ability to adapt to new technologies and data tools and work independently as well as within a cooperative, team environment.
Ability to manage execution and delivery of multiple projects in an agile manner and adapt to changing business priorities while still meeting delivery deadlines.
Bachelor’s degree in computer science, Information Technology, Engineering, Statistics, Economics or other relevant field and 5-7 years of relevant work experience. Advanced degree is a plus.

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