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Build and deploy data models to analyze credit card portfolios, customer behavior, and transaction trends, then translate insights into actionable strategies for Kotak Mahindra Bank’s financial services.
The Lead Software Engineer will design and optimize large-scale ETL data pipelines and cloud-native data solutions using Python, PySpark, and AWS. This role involves managing modern data lake architectures and Snowflake environments while championing engineering best practices and AI-assisted development within a financial services context.
Oversees end-to-end product delivery for private bank investment performance applications, focusing on process improvement, analytics automation, and stakeholder collaboration to enhance efficiency and accuracy in portfolio management.
The Principal Software Engineer will lead the design and delivery of cloud-native platforms and agentic AI-enabled engineering workflows at JPMorgan Chase. This role involves defining architecture standards, mentoring engineering teams, and leveraging generative AI to improve developer productivity and operational excellence.
The Lead Technical Program Manager will oversee complex technology projects within the Consumer & Community Banking division, utilizing AI-assisted tools for planning and risk management. The role requires deep technical expertise in networking, infrastructure, and agile delivery to align technology initiatives with business goals.
Develop and deploy production ML systems for NLP, speech recognition, and data analysis using PyTorch, TensorFlow, and cloud platforms (AWS, Azure, GCP) at a major financial institution.
The Project Manager II will lead client-focused initiatives within the Commercial Solutions division, managing projects from planning to delivery. The role involves collaborating with stakeholders, driving process improvements, and utilizing tools like Microsoft Office, analytics software, and AI-powered automation to enhance client experience.
The Lead Software Engineer will design and manage scalable cloud infrastructure on AWS using Terraform and CI/CD automation. The role involves driving the adoption of AI-assisted engineering practices while ensuring system reliability, security, and observability.
Lead software engineer designing and building secure, scalable cloud-native applications for JPMorgan Chase’s fintech products, focusing on microservices, domain modeling, and operational reliability.
The VP Lead Data Engineer will design and manage a centralized Snowflake-based data platform for the Corporate & Investment Bank, focusing on scalable data pipelines and AI-enabled controls. The role involves leading technical teams, integrating data from multiple systems, and ensuring high data quality for enterprise reporting.
This is a summer internship program for students to gain hands-on experience in data and AI by building intelligent systems and predictive models. Interns will work with modern tools like AWS, Snowflake, and LLMs to solve complex business problems within a financial services environment.
The Analyst Python Developer will build and maintain full-stack applications using FastAPI for backend services, React for front-end development, and Databricks for data processing workflows. The role involves integrating these systems with SharePoint and applying engineering best practices to ensure high-quality, secure, and performant software solutions.
The Cybersecurity Architect III will design and implement security solutions, conduct risk assessments, and leverage AI tools to enhance threat modeling and control validation within the firm's infrastructure. The role requires expertise in AWS Databricks, offensive security, and secure software development practices.
Lead end-to-end product delivery for CIAM (Customer Identity and Access Management) solutions at JPMorgan Chase, managing release processes, dependencies, stakeholder coordination, and compliance with security/regulatory requirements.
The Applied AI ML Associate develops and manages fraud and credit risk models for JPMorgan Chase's digital bank. The role involves end-to-end model lifecycle management, performance monitoring, and regulatory compliance using Python and machine learning frameworks.
Leads network reliability engineering for mission-critical fintech services, designing automation, incident response, and resilience frameworks using Python/Ansible while mentoring teams and driving systemic improvements in availability and performance.
Product Manager leading omnichannel payment solutions for J.P. Morgan's Merchant Services, translating strategy into delivery plans, defining requirements for in-store/card-terminal solutions, and managing cross-functional stakeholders across the European payments ecosystem.
Lead complex, multi-functional technology programs for Model & Analytics at JPMorgan Chase, managing scope, timelines, budgets, and cross-functional teams. Technologies span cloud (AWS), CI/CD pipelines, data platforms (Databricks, Spark), and AI/ML workflows.
Lead the SRE transformation at a global bank: define reliability standards, embed observability and AI-driven automation, and mentor teams to reduce toil and improve system resilience.
The Senior Lead Software Engineer will drive the adoption of AI-assisted development practices and tools across engineering teams to improve code quality and delivery speed. The role involves designing secure, scalable solutions and providing technical leadership in AI-native component engineering within a large-scale financial environment.
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