Client Onboarding - Data Quality Management– Associate

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Data Operations team to partner with the Business.

Operations are uniquely positioned at the heart of all that we do. We are committed to providing exceptional service to our clients and business partners. We are involved in almost all major steps of the Client Onboarding as well as new initiatives (account opening and KYC, products and services). We work in collaboration with counterparts from all areas across Lines of Business, Technology, Finance and Corporate Functions. Our role is all about maintaining the efficient processes our people rely on every day to do first-class business, whilst constantly striving to achieve the improvement that makes the firm one of the most respected financial institutions in the world.

The global focus on Anti Money Laundering (AML) and Know Your Client (KYC) is increasing and leading to new roles and opportunities within JP Morgan. The firm is establishing within Operations a market-leading function to help manage the client onboarding transformation whilst meeting regulatory risks involved in Onboarding clients.

 We are offering you an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area.

Job Responsibilities:

The candidate will join a team focused on delivering business impact through Data Quality management. The role will require working with stakeholders across the Wealth Management to ensure fit-for-purpose data, looking to leverage best practice across the industry and other J.P. Morgan business units.

As a – Client Onboarding Data Quality Management– Associate, you will be tasked with the responsibility of maintaining clean, fit-for-purpose data by executing the Firmwide Data Management strategy. Your role will involve close collaboration with stakeholders across the division to deliver business impact through the transformation of Data Quality. This position offers an excellent opportunity to join a high-profile team at JPMorgan Chase and contribute to one of the Bank’s most significant Data Quality programs.

• Demonstrate strong understanding of data governance, data quality, data lineage and metadata management concepts
• Provide data quality advisory services on specific high-profile data issues/initiatives through focused project management and deep business analysis
• Implement and support Data Quality (DQ) practices across the WM Operations:
• Leverage data lineage documentation to trace data flows associated with issues
• Build strong partnerships across AWM sub-LOBs and corporate functions to support data quality efforts
• Accelerate data quality issue level root cause analysis and resolution through effective program governance, process mapping and data deep-dives
• Query data-marts/data-stores to extract knowledge and actionable insights to identify root cause of issues
• Discuss and agree technical resolutions with technology teams to remediate DQ issues 
• Discover and document data-lineage to trace the end-to-end data journey from point of creation to consumption. 
• Set up data profiling and DQ rules leveraging DQ tools like Collibra, Informatica and other emerging tools
• Leverage productivity tools such as Alteryx and visualization tools such as Tableau/ QlikView to analyze large dataset to draw inferences

Required qualifications, capabilities and skills:

• 6+ years’ experience in Financial Services with Data analytics/Project Management/ Business Analysis background
• Experience in Data quality, Data lineage and Metadata management 
• Excellent analytical and problem-solving skills. Capacity to think laterally and convey an understanding of the big picture
• Proficiency in manipulating and analysing large data sets in Excel (pivots, formulas, charts, etc.)
• Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority across Corporate/Firmwide, Finance, Risk, Compliance, Operations and Technology teams
• Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard
• Basic understanding of the company's business practices and familiarity with the company's products and services

Preferred qualifications, capabilities and skills:

• Experience in KYC Organisation / Account and Party Reference data
• Experience in Data Quality organisation
• Experience in querying database /data stores for data analysis
• Experience in producing PowerPoint presentations for senior audiences
• Exposure to tools/technologies such as Alteryx/Tableau/QlikView/Python/Informatica/Collibra

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.