Software Engineer III - Data & Analytics

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III at JPMorgan Chase within the Asset & Wealth Management - Tech Investments team, you will be a key member of an agile team, tasked with designing and delivering cutting-edge technology products that are secure, stable, and scalable. Your role involves implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic goals.

This is a hands-on role, and the ideal candidate will have a strong background in data analytics, with development and data engineering experience in data and analytics. They will be comfortable working with large and complex financial data sets, and have a track record of using data to drive business results in the financial domain.

Job responsibilities

• Understands the vision for the WM Advisor & Investment Solutions Platforms strategy and create the data & analytics function to support their needs
• Develops and deploy analytics solutions on analytics data platform
• Develops and maintain data analytics systems and platform features for efficient analysis of large and complex financial data sets
• Establishes the appropriate monitoring and alerting of solution events related to performance, scalability, availability, and reliability
• Advances existing data ingestion frameworks to implement analytics and associated tools
• Designs and build data mesh features on the analytics data platform
• Migrates legacy analytics applications to Snowflake and AWS
• Partners with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniques
• Collaborates with the architecture teams on creating solutions to achieve aspects of the data strategy
• Ensures all risk management, legal, control, and compliance activities are done in line with JPMC standards in advance of product launch
• Designs and execute experiments (e.g., A/B testing, multi-armed bandit)

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Experience leading data integration, data management solutions in financial services
• Experience in agile software development environment
• Proficiency in data analysis, data profiling, data quality analysis
• Demonstrated ability to work in a highly matrixed program delivery structure
• Domain experience – experience in financial services industry, specifically Wealth Management
• Understanding of big data storage and processing technologies including Hadoop, Spark, Hbase/Cassandra, Phoenix, Spark, Pig and Hive
• Demonstrated ability to meet challenging growth metrics and client/partner development objectives, specifically for emerging businesses versus mature financial services products
• Knowledge of relational and non-relational database technologies, big data solutions, data science, and data mining
• Deep experience across the full range of database, data warehouse, data lake and business intelligence tools, Python and ability for rapid prototyping in Tableau, Qlik; publishing and presenting information in an engaging way.
• B.A. or B.S. required
  

Preferred qualifications, capabilities, and skills

• Experience using data visualization, dashboard, and reporting tools like Tableau, Qlik
• Experience working in a fast-paced and highly cross-functional organization
• Self-directed/self-motivated with a clear sense of ownership and a solution oriented approach
• Strong communication/presentation skills (i.e. creating content) that can be consumed at all seniority levels with both internal and external audiences.
• Ability to rapidly understand emerging technologies and business models and naturally see commercial opportunities.