Analytics Solutions Associate

Analytics Solutions 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 Analytics team to partner with the Business.

 

As a Analytics Solutions Associate in the WLS team, you will leverage data analytics, machine learning, and business acumen to drive insights, optimize processes, and support strategic decision-making in wholesale lending operations.

Job responsibilities:

• Develop and execute POCs for new or enhanced lending products, leveraging innovative technologies and analytics to streamline workflows, reduce manual effort, and improve overall efficiency within the lending process
• Integrate AI-driven analytics into dashboards for real-time insights, automated commentary, and dynamic visualizations.
• Identify bottlenecks and optimize workflows by analyzing process data with AI tools.
• Analyze unstructured data (e.g., client communications, loan documents) to extract insights, summarize information, and support compliance.
• Engage regularly with stakeholders to gather requirements, clarify objectives, and align project deliverables with business needs.
• Monitor progress of tasks and issues in JIRA, ensuring timely updates and resolution of blockers.
• Collaborate with product owners and technical teams to define acceptance criteria and validate completed work.
• Collaborate with technical teams to integrate AWS and Snowflake solutions into existing workflows for enhanced scalability and performance.
• Stay updated on the latest AWS and Snowflake offerings, recommending innovative tools and technologies to improve operational efficiency

Required qualifications, capabilities and skills:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field
• Proficiency in Python and/or R for data analysis and modeling
• Strong knowledge of SQL for data extraction and manipulation
• Strong experience with machine learning algorithms and statistical modeling techniques
• Ability to clean, preprocess, and analyze large datasets
• Familiarity with data visualization tools (e.g., Tableau, QlikSense etc. )
• Strong knowledge of Snowflake and AWS

Preferred qualifications, capabilities and skills

• Experience in financial services, banking, or lending domain
• Exposure to NLP, time series analysis, or advanced ML techniques
• Experience with workflow automation and dashboard development, Alteryx and Sigma
• Familiarity with version control systems (e.g., Git)
• Understanding of data governance, privacy, and compliance requirements
• Experience working in Agile or cross-functional teams
• Working knowledge of Jira 

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.

Experience Level

Senior Level