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We have an opportunity to elevate your career and provide an adventure where you can push the limits of what's possible. Data is one of our most significant competitive assets and within our business, data is a crucial enabler for impactful initiatives that enhance efficiency and accelerate business growth.
As a Software Engineer III at JP Morgan Chase within the Asset & Wealth Management Technology, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
The Business Intelligence and Analytics Tech team are looking for a talented Quantitative Python & React Software Engineer to help develop advanced analytic solutions for our internal and external clients. You will work on our Portfolio Optimization application supporting various asset classes such as Equities, Fixed Income and Multi-Assets.
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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Strong Python programming experience is required (+ MATLAB)
- Significant experience in developing server-side applications and REST APIs in Python (ideally in Flask)
- Applied expertise in front-end development and web technologies: REACT / JavaScript / TypeScript / CSS and Vite / node.
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated proficiency in software applications and technical processes within a technical discipline
- In-depth knowledge of the financial services industry and their IT systems. Practical cloud native experience (e.g., AWS Cloud)
Preferred qualifications, capabilities, and skills
- Good financial background preferred, CFA, FRM, MBA in Finance and/or Financial Engineering degree and/or risk management knowledge is a major plus
- Experience in strategic asset allocation using optimizers such as Gurobi
- Porting MATLAB code into Python
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.8
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
Salary Ranges
41 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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