JPMorgan Chase CIB Wholesale Payments Data and Analytics --- Data Scientist in Plano, Texas
Who we are?
We are a new and rapidly growing team of change agents inside J.P. Morgan, driving a major transformation in how data & analytics powers Wholesale Payments for our clients. The Wholesale Payments team comprises of Treasury and Merchant Services.
Our group balances the art of decision making with science to deliver actionable insights and innovative data products at scale. Client needs are at the center of all we do: it always starts with a deep understanding of the client needs to ultimately design a rewarding and meaningful user experience.
Within the Business Transformation group, WPD&A is defining and executing the multi-year global analytics strategy and roadmap for the firm, driving the build-out of the analytics environment and innovative data products, establishing cross-functional and cross-LOB data assets, and shaping overall analytics best practices.
New technologies, analytics and business models are emerging with the potential to radically transform financial services. You will be at the leading edge inside the company driving change. JP Morgan serves millions of customers, clears 20% of all USD wires globally – how can we put this data to good use? You will collaborate with other passionate, creative and analytical minds to answer this question.
The Payments Data Science Associate is responsible for executing big data analytics projects in response to product innovation for Merchant Services. Tangible output of the programs typically are payments insights that drive optimization of authorization, chargeback and cost of payments for merchants under 100 MM – as well as deep consumer and business insights. As the analytics mature, these insights can be productized into data insights products for merchants (“insights as a service”). The right candidate for this position is highly proficient with complex data sets, using modern statistical and data exploration as well as visualization techniques (especially SQL on Hadoop, Tableau). The role will require working on multiple projects simultaneously. The ideal candidate will possess strong data analytical skills along with exceptional leadership, client and relationship management skills. Must have proven successes in balancing long term strategic vision with the ability to create, practical, actionable plans that are coherent and understood by all stakeholders. Beyond excellent analytical skills, the ideal candidate will be innovative, commercially inclined to create genuine business value through the alignment of technology, data and business interests. Ideal for high caliber analytics talent with a strong affinity for payments innovation and big data technology affinity.
Principal Duties & Responsibilities
Develop and plan required analytic projects in response to Merchant Services analytics strategy and roadmap
Execute analytical projects as an individual contributor
Focus on delivering actionable recommendations to merchants on how to optimize their payment performance (authorizations, charge backs, cost of payments)
Work on cross LOB projects to provide insights on new product offerings that can maximize growth opportunities.
Deliver deep, actionable consumer insights that support merchant’s growth agenda
Develop visualizations of analytics insights in Tableau (for consumption of relevant stakeholders)
Contribute to “productization” analytical insights in collaboration with cross-functional teams
Develop new analytical modeling methods and/or tools as required
Work with business domain experts and application developers to identify data relevant for analysis
Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis
In conjunction with data owners and department managers, contribute to the development of data models for analytics
Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems
Apply quality assurance best practices for analytics services
Adhere to change control and testing processes for modifications to analytical models
3+ years of working in large and medium project teams, as a contributing member in self-directed roles
Bachelor’s Degree in the fields of engineering, computer science, statistics, mathematics, and finance
Expertise in data mining, quantitative research techniques, theories, principles, and practices
Experience in the payments industry and/or technology-enabled industries
In-depth understanding of the payments value chain (merchants, brands, acquirers, networks, issuers) and associated data assets - or in-depth understanding of consumer insights
Deep experience across the full range of database and business intelligence tools (especially SQL on Hadoop (Hive, Impala) and Tableau); publishing and presenting information in an engaging way
Ability for rapid prototyping in Tableau
Data Science experience in R, Python is a plus
Intensive, recent experience in assessing and sourcing data needs
Strong familiarity and experience with data preparation and processing – such as assessment of data quality, new variable creation, variable selection, etc.Detailed orientation and a commitment to innovation
Strong interpersonal and communication skills, ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
Ability to build trust-based relationships
Strong aptitude for technical concepts and ideas
Ability to work well within deadlines
Executive presence and presentation skills
Strong written and oral communication skills
Understanding “deep data” environments, ideally with a Merchant mindset
High achievement orientation with ability to lead and motivate others around results
JPMorgan Chase is an equal opportunity and affirmative action employer Disability/Veteran.
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