Plano, TX, USA
1 day ago
Lead Software Engineer - Data focused

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

 

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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads 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 architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds 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 experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleProficiency 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 lifecycleExperience 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

 

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