CIB - Digital Client Service Data Analyst
J.P. Morgan
Buenos Aires, Argentina
hace 21 horas

Digital Client Service, Data Analyst,,Associate

J.P. Morgan’s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world’s most important corporations, governments and institutions entrust us with their business in more than 100 countries.

With $18 trillion of assets under custody and $393 billion in deposits, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

The Digital & Platform Services Operations teams support the Corporate & Investment Bank and its partners and functions including Technology, Data Science, Client Service, Product and Platform as well as other businesses and stakeholders across the firm.

Markets Operations supports all asset classes including equities, fixed income, currencies and commodities. Services provided encompass trade support, pre-execution support for electronic trade systems and vendor platforms, client servicing, regulatory reporting and controls, as well as asset servicing, clearing, settlement and collateral management, vaulting and movement of physical commodities and billing support for clients and partners in over 100 global markets.

Our external clients include Asset Managers, Pension and Life Funds, Government Funds, Hedge Funds, Broker Dealers, Global Custodians, Agent Banks, Corporations, Retail clients and other Financial Institutions.

Digital Client Services is a new team within Markets Operations with the mandate of reimagining the client service model in order to unlock the value of service and improve the client experience.

The team operates in a fast-paced and rapid delivery environment.

Job Description

Our Project, Product & Program teams are coordinating, designing, and building our platform enablers, which we believe will allow us to deliver our vision for tomorrow

You will be asked to quickly understand the needs of internal & external customers and deliver a set of products to elevate client service.

This will require close partnership with business, design and technology partners across a diverse and complex technology stack.

The operating model required to achieve this change will be different, requiring rapid experimentation, imaginative collaboration and well bounded testing to quickly evaluate solutions.

Staying up to date with cutting edge approaches to service problems, both internal and external to the financial services industry will be critical to innovate.

A passion for best in class service is essential.

Summary of Responsibilities

Act as a catalyst, educator and cheerleader for the DCS Transformation agenda.

Lead Data and Intelligence partnerships as the in-house data expert aligned to the DCS Business Intelligence design lifecycle :

  • Planning & Ideation
  • o Work with desk and business heads to understand critical metrics and relevance to their business strategy.

    o Understand current data architectures and leverage for measurement of success and identification of opportunities.

    o Develop data driven insights into Client Service, including historical comparison, global variability, future trends and understanding of key drivers.

    o Support strategic planning with data backed hypotheses and understanding of operational implications.

  • Requirements & Prototyping
  • o Define data taxonomy and requirements for functional partners.

    o Rapid prototypes to iteratively drive transformation agenda and validate impact to end-users.

  • Partnerships
  • o Own the strategic partnerships with expert analytics and technical teams to enhance our data and data analysis offering

    o Engage with stakeholders to manage the development of predictive analytics to detect changes in data patterns that may be precursor to changes in our business.

  • Deployment
  • o Partner with technology teams to ensure a successful deployment of analytics products

    o Work closely with data science, AI / ML and business teams to drive the end-to-end lifecycle of our products

    Skills and Qualifications

  • MS in a quantitative discipline, e.g. Engineering, Sciences, or similar in competitive BSc degrees.
  • 3 to 5 years of experience in; management consulting and software companies.
  • Data analytics skills covering as a basis, but not limited to, excel, access database, Alteryx, Tableau for business analysis.
  • Data literacy and comfort to engage with AI, Machine Learning partners for analysis tasks python, SQL and R skills for data analysis is a plus.
  • Able to work with non-specialists in a partnership model, conveys information clearly and creates a sense of trust with stakeholders.
  • Practical experience with data analysis and comfort with rapid prototyping and experimental design.
  • Excellent written and verbal communication skills.
  • Ability to influence multiple stakeholders without direct authority.
  • Would suit someone looking for a flexible working opportunity.

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