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 our team to partner with the Business to provide a comprehensive view.

The Data Scientist Associate with the Payments Data and Analytics team is responsible for executing big data analytics projects in response to product innovation and customer support for Merchant Services. Tangible output of the programs are payments insights that drive optimization of authorization, for large merchants – as well as deep consumer and business insights. As the analytics mature, these insights can be productized into products for merchants (“insights as a service”).

As a Payments - Data Scientist Associate in our Payments Data and Analytics team, you will have the exciting opportunity to manage complex data sets, create insightful visualizations, and develop innovative analytics for the future of end-to-end payment optimization. You will work closely with our team and business partners, using your analytical and problem-solving skills to promote optimization and provide valuable insights. This role requires a minimum of 3 years of experience in a big data environment, deep knowledge of SQL, and preferably experience in automation and Python. A degree in a technical or quantitative field is also required. If you are curious, creative, and ready to take your ideas off the drawing board, we look forward to welcoming you to our team.

Job Responsibilities:

• Managing complex data sets, using modern statistical and data exploration practices and creating insightful visualizations.
• Taking responsibility to establish a repeatable process to perform validation of various analyses as well as ad hoc support of large client-merchants. But you are also curious and creative, having the ability to organize stakeholder problems into clear business objectives for which you can create analytics solutions that deliver immediate value.  
• Get your ideas off the drawing board, preferring to quickly develop prototypical solutions that you can hone and improve in collaboration with teammates and stakeholders. 
• Reaching out to subject matter experts to build your business knowledge and grow your understanding of pain points that represent analytic opportunities.
• Develop subject matter expertise in a world-class payments organization and help develop the innovative analytics for the future of end-to-end payment optimization.

Required qualifications, capabilities and skills:

• Bachelor’s or master’s degree in engineering, computer science, statistics, mathematics or similar technical or quantitative field
• Minimum 3 years of working in a big data environment as a contributing member in self-directed roles
• Must have deep experience in SQL. 
• Experience using Data Visualization tools such as Tableau
• Ability to clearly develop and document analytic requirements with stakeholders
• Exceptional analytical, problem solving, communication and presentation skills
• Ability to work across functions as well as with outside parties to ensure alignment and timely implementation of initiatives
• Proven strategic thinking and creative problem solving skills with ability to translate strategy into deliverables
• Strong written and oral communication skills

Preferred qualifications, capabilities and skills :

• Experience in the payments industry and/or technology-enabled industries is desirable
• Experience in automation and Python are preferred

JPMorganChase, 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.