As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - Financial Planning & Analysis space, you will play a vital role in an agile team dedicated to enhancing, building, and delivering reliable, market-leading technology products in a secure, stable, and scalable manner. As a key technical contributor, you will be responsible for implementing essential technology solutions across diverse technical domains, supporting various business functions to achieve the firm's strategic objectives.
Job responsibilities
- Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on Software Engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Advanced in one or more programming language(s)
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Proficiency in data modeling tools and software (e.g., SQL, Python, SparkSQL, PySpark) and data visualization tools (e.g., Tableau, ThoughtSpot).
- Extensive experience in financial data modeling, data analytics, and financial analysis within the banking or financial services sector.
- Working experience with both relational and NoSQL databases
- Experience and proficiency across the data lifecycle
- Experience with database back-up, recovery, and archiving strategy
Preferred qualifications, capabilities, and skills
- Knowledge of financial regulations and compliance requirements.
- Proficient knowledge of linear algebra, statistics, and geometrical algorithms