Lead Software Engineer - Data & Analytics

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 Wealth Management - Applied AI & Analytics team, you play a crucial role in an agile team dedicated to enhancing, building, and delivering market-leading technology products that are secure, stable, and scalable.

You are a key technical contributor responsible for implementing critical technology solutions across various technical domains to support the firm's business objectives.

Our team leverages cutting-edge machine learning techniques alongside the company's unique data assets to optimize business decisions.

In this position, you will be part of our industry-leading data analytics team, advancing financial applications from business intelligence generation to predictive models and automated decision-making.

You will collaborate closely with financial advisors, investors, client service, and operations.

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


* Collaborates with business stakeholders to formulate relevant financial and business questions that can be answered by data analysis.


* Research's and analyzes data sets using a variety of statistical and machine learning techniques.


* Communicates final results and give context.


* Documents approach and techniques used.


* Works on longer term projects, building tooling that can be used to scale certain types of analyses across multiple datasets and business use cases.


* Collaborates with internal machine learning teams.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied experience


* B.S.

or M.S.

in a quantitative discipline in Computer Science, Mathematics, Statistics, Engineering, Data Science or similar


* Experience with machine learning APIs and computational packages (examples: TensorFlow, PyTorch, Keras, Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).


* Strong ability to develop and debug in Python or similar professional programming language.

Experience with ...