Merchant Services - Payments Data Analytics & Science Manager Associate Merchant Services - Payments Data Analytics &  …

J.P.Morgan
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
J.P.Morgan
in New York, NY, United States
Permanent, Full time
Be the first to apply
Competitive
Merchant Services - Payments Data Analytics & Science Manager Associate
Merchant Services isthe global payment acceptance and merchant acquiring business of JPMorgan Chase& Co. Merchant Services is a leading provider of payment, fraudmanagement and data security solutions, capable of authorizing transactions inmore than 130 currencies. The company's proprietary platforms provideintegrated commerce solutions for all major credit and debit card payments aswell as mobile payments. Merchant Services has uniquely combined proven paymenttechnology with a long legacy of merchant advocacy that creates quantifiablevalue for ecommerce companies. Merchant Services is the #1 Merchant AcquirerWorldwide, based on volume, by The Nilson Report in April 2016. We are #1in eCommerce volume in Europe, based on The Nilson Report. MerchantServices is also #1 in Merchant Processing Volume in the US with more than 20%market share, by The Nilson Report in April 2017. Double-digit growthyear over year in processing volume is evidence of our best-in-classdistribution and the advantage we have in the market place with ChaseNet andChase Pay.

The Merchant ServicesAnalytics team (reporting into the Head of Product for MerchantServices) is responsible for defining and executing the multi-year globalanalytics strategy and roadmap (e.g., optimizing payments performance of globalmerchants as well as driving payments innovation through analytics basedinsights products with an engaging user experience). The team is also drivingthe build out the analytics environment, establishing cross-functional andcross line of business data assets (across Chase, Treasury Services, Digital,Commercial Banking) and shaping Merchant Services analytics best practicesoverall.

Payment Data Analytics &Science Manager Associate is responsible for executing bigdata analytics projects in response to product innovation for MerchantServices. Tangible output of the programs typically are payments insights thatdrive optimization of authorization, chargeback and cost of payments for largemerchants - as well as deep consumer and business insights. As the analyticsmature, these insights can be productized into data insights products formerchants ("insights as a service").

The right candidate for thisposition is highly proficient with complex data sets, using modern statisticaland data exploration as well as visualization techniques (especially SQL onHadoop, Tableau)

The role will require working onmultiple projects simultaneously. The ideal candidate will possess strong dataanalytical skills along with exceptional leadership, client and relationshipmanagement skills. S/he must have proven successes in balancing long termstrategic vision with the ability to create, practical, actionable plans thatare coherent and understood by all stakeholders. Beyond excellentanalytical skills, the ideal candidate will be innovative, commerciallyinclined to create genuine business value through the alignment of technology,data and business interests.

Ideal for high caliber analyticstalent with a strong affinity for payments innovation and big data technologyaffinity.
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)
  • Deliver deep, actionable consumer insights that support merchants 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.

Qualifications

  • 3 years of working in large and medium project teams, as a contributing member in self-directed roles
  • Bachelors Degree in the fields of engineering, computer science, statistics, mathematics required, Advanced Degree preferred
  • Management consulting experience is a plus
  • 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
Skill Requirements:
  • 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
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