Quant Analytics Analyst at JPMC Candidate Experience page

Taguig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

22 Apr, 26

Salary

0.0

Posted On

22 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Development, Cloud Solutions, Machine Learning, Generative AI, Data Pipelines, Infrastructure as Code, DevOps, AWS, Containerization, MLOps, Data Science, Application Migration, Security, Compliance, Monitoring, Automation

Industry

Financial Services

Description

Are you passionate about shaping the future of artificial intelligence and machine learning? Join us to architect innovative solutions that accelerate business outcomes and transform how organizations leverage data. As a Solutions Architect, you will collaborate with talented teams to build resilient, cloud-based platforms that power advanced analytics. Your expertise will help drive operational excellence, security, and compliance across our technology landscape. Be part of a dynamic environment where your ideas and skills make a real impact. As a Solutions Architect (AI/ML) in the Enterprise Data Solutions and Data Analytics team, you design, implement, and scale machine learning and generative AI solutions in the cloud. You act as a trusted advisor, guiding us in building secure, high-performance, and cost-efficient AI platforms that accelerate business outcomes. You collaborate with development, data science, and analytics teams to define cloud strategies, ensure seamless integrations, and optimize performance across cloud and hybrid environments. You select the right tools and technologies to build resilient platforms that meet our business needs while maintaining security, compliance, and operational excellence. Together, we shape the technology strategy of our organization. Job Responsibilities • Designs and implements end-to-end architectures for AI/ML workloads, including data ingestion, model training, deployment, and monitoring • Oversees the deployment of AI models and applications from development through production, ensuring reliability, security, and cost-efficiency. • Advises on scalable infrastructure for generative AI, foundation models, and data-driven applications. • Monitors, maintains, and optimizes AI infrastructure to support high availability and performance. • Automates infrastructure provisioning and management using Terraform and other infrastructure-as-code tools. • Supports enterprise migrations of AI/ML pipelines from on-premises or legacy systems to the cloud. • Collaborates with data science, product, and engineering teams to accelerate AI adoption across the organization. • Creates and maintains architecture documentation, standards, and best practices for data pipelines and ETL frameworks • Champions best practices for security, compliance, and ethical AI using AWS technologies. Delivers workshops, proof-of-concepts, and executive briefings to showcase AI/ML best practices. • Drives conversations on security, compliance, and responsible AI in large-scale environments. Mentors engineering and data teams, helping them operationalize and optimize AI solutions. Required Qualifications, Capabilities, and Skills • 5+ years in software/web development, with 2+ years in an architect or technical lead role. • Strong experience in application migration to AWS, Hands-on experience with containerization (Docker, Kubernetes, OpenShift/EKS), • Strong understanding of agentic AI/ML frameworks and MLOps practices; Experience with Smart SDK or similar technologies • Experience in cloud-based solutions, systems, networking, and operating environments, along with strong hands-on expertise in coding, data querying languages and scripting languages. • Deep understanding of DevOps principles, including CI/CD, IaC (Infrastructure as Code), and environment automation • Hands-on expertise in data pipelines, feature engineering, model deployment, and monitoring at scale. • Extensive experience in modern application development, including containerized solutions • Proficiency in AWS core services, including EKS, S3, Athena, RDS, Bedrock, Lambda, and Glue • Strong communication skills to articulate complex AI concepts to technical and non-technical audiences Preferred Qualifications, Capabilities, and Skills • Experience with generative AI models, LLMs, and integration into enterprise applications is a strong plus. JPMorganChase, 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 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. Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

Responsibilities

Design and implement end-to-end architectures for AI/ML workloads, ensuring reliability and cost-efficiency. Collaborate with various teams to optimize performance and maintain security across cloud environments.