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Quant / Portfolio Analytics Java Senior Lead Software Engineer
Jersey City, NJ, United States, US
·
On-site
·
Full-time
·
1mo ago
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Quant / Portfolio Analytics Java Senior Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Your role focuses on developing innovative digital tools that deliver an exceptional client experience, incorporate AI where appropriate, and establish a robust analytics framework to enable seamless cross-platform integration.
Job responsibilities
- Partner closely with the business to design and build, in an agile fashion, the next generation of client-facing platforms with an elevated user experience powered by robust portfolio analytics for our financial advisors
- Develop secure, high-quality production code; actively participate in code reviews and process improvements to ensure code quality and stability.
- Serve as a subject matter expert in quantitative analytics and market data integration
- Contribute to decisions influencing product design, application functionality, technical operations, and development processes.
- Utilize AWS services to build, deploy, and manage cloud-based applications.
- Influence peers and project decision-makers to adopt leading-edge technologies and best practices.
Required qualifications, capabilities, and skills
- Formal training or certification in software engineering with 5+ years of applied experience
- Proven hands-on expertise in system design, application development, comprehensive testing, and maintaining operational stability
- Deep practical experience developing robust solutions using Java
- Experience building and maintaining applications on AWS, with solid knowledge of key AWS services such as EKS, ECS, Lambda, EMR, and S3
- Extensive experience working with both relational databases (Oracle, SQL Server, PostgreSQL) and NoSQL databases (DynamoDB, MongoDB)
- Proven ability to collaborate with business stakeholders to gather requirements, deliver new capabilities iteratively and seek feedbacks
- Exceptional problem-solving and strong attention to detail, with a proven capacity to investigate complex, time-sensitive analytics issues and proactively recommend solutions that drive continuous quality improvement.
- Excellent communication skills, with the ability to engage and influence senior stakeholders and work effectively within a team.
Preferred qualifications, capabilities, and skills- Experience collaborating in Agile/Scrum development environments. - Familiarity with CI/CD pipelines and DevOps practices.
- Ability to lead a small team of developers to deliver business capabilities with high quality and with very good time to market
- Knowledge of Analytics concepts
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
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