As a Lead Software Engineer, you will enhance and deliver technology products using Python and Java, and develop machine learning models, collaborating with teams to meet business objectives.
Job Description
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 Asset and Wealth Management, 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.
Job responsibilities
Required qualifications, capabilities, and skills
Preferred qualifications, capabilities, and skills
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 Asset and Wealth Management, 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.
Job responsibilities
- Utilize Python and Java for data analysis and algorithm development.
- Develop and implement machine learning models and GenAI solutions.
- Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
- Perform data mining and extraction from various sources.
- Ensure data quality and integrity in all projects.
- Communicate findings and insights effectively to stakeholders.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Education: Degree in Engineering Stream, Data Science, Statistics, or a related field.
- Proven experience with Python and Java programming languages.
- Extensive experience in developing and deploying machine learning models.
- Strong background in GenAI and its applications.
- Advanced proficiency in Python and Java.
- Expertise in GenAI technologies and frameworks.
- Strong understanding of machine learning algorithms and techniques.
- Experience with big data tools and platforms.
- Proficiency in data visualization tools such as Matplotlib, Seaborn, or Tableau.
Preferred qualifications, capabilities, and skills
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Knowledge of data engineering and ETL processes.
Top Skills
AWS
Azure
Big Data Tools
Data Visualization Tools
Docker
Genai
GCP
Java
Kubernetes
Machine Learning
Matplotlib
Python
Seaborn
Tableau
JPMorganChase Singapore Office
One@Changi City, Changi Business Park Central 1, Singapore, 486036
Similar Jobs at JPMorganChase
Financial Services
Lead Site Reliability Engineer focusing on improving application reliability, mentoring engineers, and collaborating on technical issues and incident resolution.
Top Skills:
.NetDatadogDockerDynatraceEcsGitlabGrafanaJava Spring BootJenkinsKubernetesPrometheusPythonSplunkTerraform
Financial Services
The Lead Software Engineer develops high-quality software solutions, leads technical evaluations, enhances operational stability, and fosters a culture of diversity and teamwork.
Top Skills:
AWSCi/CdDevOpsMicroservicesNoSQLRest ApisSoftware MonitoringTest-Driven Development
Financial Services
As a Lead Software Engineer, you will design, develop, and troubleshoot software solutions, enhance operational stability, and lead technical evaluations while promoting a diverse and inclusive team culture.
Top Skills:
AirflowAWSCi/CdJavaKafkaKubernetesSpark
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
