Data Visualization Senior Associate

Location: Jersey City, NJ, United States

Job Family: Analytics Solutions & Delivery

About the Role

At JP Morgan Chase, we are at the forefront of financial innovation, and our Data Visualization Senior Associate role within the Analytics Solutions & Delivery team is pivotal in unlocking the power of data to drive business insights. Based in Jersey City, NJ, this position involves creating sophisticated visualizations that reveal trends, mitigate risks, and provide clarity to complex financial landscapes. As a key member of our team, you will work on high-impact projects supporting areas like investment banking, risk management, and client advisory services, leveraging JP Morgan's vast data ecosystem to inform strategic decisions that shape the global financial markets. In this role, you will collaborate closely with data scientists, business analysts, and senior executives to transform raw financial data into compelling stories through interactive dashboards and reports. Your work will directly contribute to identifying market opportunities, assessing credit risks, and optimizing operational efficiencies, all while adhering to stringent regulatory standards in the banking industry. Utilizing tools like Tableau and Power BI, you will handle diverse datasets from trading volumes to customer behaviors, ensuring visualizations are not only insightful but also scalable for enterprise-wide use at JP Morgan Chase. We seek a proactive professional passionate about data storytelling in finance, with a proven track record of delivering value in dynamic environments. This opportunity offers exposure to cutting-edge technologies and the chance to influence JP Morgan's data-driven culture. Join us to advance your career while helping power the world's leading financial institution.

Key Responsibilities

• Design and develop interactive dashboards and visualizations to uncover trends in financial data, supporting JP Morgan Chase's risk management and business insights
• Collaborate with analytics teams to translate complex financial datasets into clear, actionable visualizations for senior stakeholders
• Analyze large volumes of banking data to identify patterns, anomalies, and opportunities for efficiency in areas like investment banking and asset management
• Mitigate risks by creating visualization tools that highlight potential issues in market trends, credit portfolios, or operational data
• Integrate data from multiple sources, including JP Morgan's proprietary systems, to provide comprehensive views for decision-making
• Present findings and recommendations to business leaders, ensuring visualizations align with strategic goals in the financial services sector
• Optimize visualization performance for scalability in high-volume trading and client reporting environments
• Stay updated on emerging visualization technologies and apply them to enhance JP Morgan's data delivery capabilities
• Support ad-hoc analysis requests from various lines of business, such as consumer banking or corporate finance
• Ensure all visualizations comply with internal governance and regulatory requirements for data privacy and accuracy

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a related field
• 5+ years of experience in data visualization, analytics, or business intelligence roles within the financial services industry
• Proficiency in data visualization tools such as Tableau, Power BI, or QlikView
• Strong understanding of data analysis and statistical methods applied to financial datasets
• Experience with SQL and data querying in large-scale databases
• Ability to work with cross-functional teams in a fast-paced banking environment
• Demonstrated experience in delivering visualization solutions that drive business decisions and risk mitigation

Preferred Qualifications

• Master's degree in Data Analytics, Finance, or a related discipline
• Experience with Python or R for data manipulation and scripting in financial contexts
• Knowledge of regulatory compliance standards such as Basel III or Dodd-Frank in data reporting
• Prior work at a major financial institution like JP Morgan Chase
• Certification in data visualization (e.g., Tableau Desktop Specialist) or analytics (e.g., Google Data Analytics)

Required Skills

• Expertise in Tableau or Power BI for creating dynamic financial dashboards
• Proficiency in SQL for querying relational databases in banking systems
• Data analysis skills using Excel, Python, or R for financial modeling
• Understanding of financial metrics like ROI, risk-adjusted returns, and portfolio performance
• Strong problem-solving abilities to interpret complex datasets
• Excellent communication skills for presenting insights to non-technical stakeholders
• Attention to detail in ensuring data accuracy and visualization integrity
• Project management skills to deliver solutions on time in agile environments
• Knowledge of data governance and compliance in financial services
• Analytical mindset for trend identification and risk assessment
• Collaboration skills for working with diverse teams across JP Morgan Chase
• Adaptability to evolving technologies in data visualization
• Familiarity with big data tools like Hadoop or Spark for large-scale financial data
• Creative design sense for intuitive and impactful visualizations
• Time management to handle multiple priorities in a high-stakes banking setting

Benefits

• Competitive base salary and performance-based annual bonuses
• Comprehensive health, dental, and vision insurance plans
• 401(k) retirement savings plan with generous company matching
• Paid time off including vacation, sick days, and parental leave
• Professional development opportunities through JP Morgan's internal training programs and tuition reimbursement
• Employee stock purchase plan and financial wellness resources
• On-site fitness centers and wellness programs at Jersey City location
• Flexible work arrangements including hybrid options for work-life balance

JP Morgan Chase is an equal opportunity employer.