Overview
On Site
Full Time
Skills
Large Language Models (LLMs)
Machine Learning (ML)
Data Analysis
Advanced analytics
Software design
Systems architecture
Business requirements
Systems design
Data engineering
Application development
Continuous delivery
Software development
Agile
Financial services
Data Science
Investment banking
Corporate banking
Asset management
Health care
Leadership
IMPACT
Data
Creativity
Collaboration
FOCUS
Cloud computing
Databricks
Amazon Web Services
Management
Analytics
Training
Testing
Python
PySpark
Pandas
NumPy
Tableau
Automation
Artificial intelligence
Finance
Banking
Backup
Coaching
Recruiting
SAP BASIS
Law
Job Details
We have an opportunity to impact your career and provide an adventure where you can push the limits of advanced analytics.
As a Data Analytics Lead Software Engineer at JPMorgan Chase within the Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted data technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical machine learning solutions across multiple technical areas within various business functions in support of the firm's business objectives.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans
As a Data Analytics Lead Software Engineer at JPMorgan Chase within the Corporate Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted data technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical machine learning solutions across multiple technical areas within various business functions in support of the firm's business 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
- Effectively collaborate with business stakeholders and Data Scientists to dive deep into the data and extract key insights
- Identify and implement best practices in machine learning to interpret data with special focus on anomaly detection
- Proven hands on experience creating and implementing machine learning applications on the Cloud (Databricks/AWS)
- Keen understanding of data relationships (Logical and Physical models)
- Ability to create an end to end system architecture for a Data Analytics application
- Develops secure high-quality production code, and reviews and debugs code written by others
- Manage building system designs for data pipelines geared towards analytics
- Manage business stakeholder, understanding key business requirements and creating system design would be required
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering and machine learning concepts and 5+ years of applied experience
- Prior experience working with Databricks Lakehouse architecture dealing with high volume relational data
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- Proven ability to create Data Pipelines using Python libraries such as PySpark, Pandas, NumPy
- Experience with Modern Analytics tools such as Looker, Thoughtspot, Tableau, Quik Sense
- Proficiency in automation and continuous delivery methods
- Proficient in all aspects of the Software Development Life Cycle
- Advanced understanding of agile methodologies
- In-depth knowledge of the financial services industry and their IT systems
- Practical AWS cloud native experience
Preferred qualifications, capabilities, and skills
- Prior experience working with Anomaly Detection models
- Extensive experience working with Data Science teams to develop, train, test and deploy AI/ML applications
- Experience in AI particularly working with Large Language Models
About Us
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans