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JPMorganChase

Data Management- Senior Associate

Reposted 24 Days Ago
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Hybrid
London, England
Mid level
Hybrid
London, England
Mid level
The Data Management Senior Associate will analyze data, deliver reports, and develop data-driven solutions to enhance banking experiences. They will collaborate with product teams to manage data accuracy and streamline reporting processes.
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Job Description
At JP Morgan Chase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.
As a Data Management Sr Associate at JPMorgan Chase within the International Consumer Bank, you will play a crucial role in this initiative, dedicated to delivering an outstanding banking experience to our customers. You will work in a collaborative environment as part of a diverse, inclusive, and geographically distributed team. We are seeking individuals with a curious mindset and a keen interest in new technology. Our data management associates are naturally solution-oriented and possess an interest in the financial sector and focus on addressing our customer needs. We work in teams focused on specific banking functions and products, providing opportunities to build data pipelines and reporting capabilities for functional areas such as finance and business management, treasury operations, financial crime prevention, regulatory reporting and analytics. We collaborate with product teams such as card payments, electronic payments, lending, customer onboarding, core banking, and insurance to understand their product data models and deliver tailored data solutions that meet business needs.
Job responsibilities
  • Partner with various Product teams to gather requirements, analyze data, deliver accurate reports and develop data-driven solutions that meet those needs.
  • Apply domain modelling techniques to design and develop top-tier business products using industry best practices to ensure high data quality and minimize redundancy.
  • Maintain data accuracy, integrity, and consistency across all data layers.
  • Drive process improvements and automation initiatives to boost reporting efficiency and data quality.
  • Collaborate with data engineers to streamline and enhance data reporting workflows through automation.
  • Work with internal teams to resolve data issues and discrepancies in reporting.
  • Communicate findings and insights to stakeholders using clear and effective visualizations and summaries.
  • Assist product teams in extracting and analyzing data for functional testing and data investigations.
  • Contribute to data governance and compliance efforts to ensure adherence to standards and regulations.

Required qualifications, capabilities & skills
  • Formal training or certification on data engineering concepts and applied experience
  • Recent hands-on professional experience in a reporting, data analysis or business intelligence role
  • Experience in database querying techniques and SQL
  • Understanding of how to manage and optimize queries for large volumes of data within different kinds of data stores (including relational data stores)
  • Experience in designing and implementing effective tests (unit, component, integration, end-to-end, performance, etc.)
  • Strong analytical and problem-solving skills
  • Experience in explaining and converting complex concepts into digestible information to be consumed by both technical and business stakeholders
  • Attention to detail and commitment to maintaining data quality
  • Excellent written and verbal communicationskills in English

Preferred qualifications, capabilities & skills
  • Experience in working in a highly regulated environment / industry
  • Understanding of data warehousing concepts and ETL processes
  • Experience in data analysis using Python programming language
  • Understanding of data governance frameworks
  • Understanding of AWS cloud technologies

About Us
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

Top Skills

AWS
Python
SQL

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