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Model Control System (MCS) is used to manage firm-wide inventory of models by front-office, finance, operations, control, and oversight functions. It is the central repository for storing model meta-data, documentation, and implements model workflows in accordance with The Firm Global Model Risk Management Policy. The team supports cross-divisional business areas with high visibility and oversight from both internal risk management and external regulatory authorities across the globe. To support significant growth in business functionality and support changing regulatory environment, including implementing new global policy frameworks such as AI/ML/GenAI model framework, MCS is undergoing significant modernization using latest technology stack. The new technology platform being built needs to support model inventory management, workflows, event management, Model Usage, Model documentation, GenAI integration, analytics, and reporting.
Job Responsibility:
Improve DevOps practices
Improve the QA automation
Modernize applications using industry standard practices
Assume responsibility for projects with a strong mindset of DevOps and Test automation
Requirements:
Strong knowledge of DevOps and related tools, like Github, GitOps, Splunk, Grafana, OpenTelemetry and other Observabilities tools
Strong knowledge about containerization and orchestration, experiences with Docker, Podman, Kubenetes and related yaml files to deploy the applications
Strong knowledge about CI/CD and experiences with Jenkins Pipeline, GitHub Actions
Strong knowledge of infrastructure as Code and related scripting languages, like Puppet, Ansible, Python, etc.
Strong knowledge of QA test scenarios Analysis and test automation with automation framework like Selenium, Cypress, JBehave, Cucumber, and Gerkins language
Strong Knowledge of Relational Databases, SQL, MongoDB, and NoSQL
Strong scripting technique with Python or other scripting language
Strong knowledge of JAVA including collection framework
Strong Analytical and problem-solving techniques
Strong knowledge of GIT source code management
Nice to have:
Knowledge of Representation state transfer (RESTful Web services)
Knowledge about liquibase to apply the database changes indempotently
Knowledge of HTTP, XML, JSON and YAML
Knowledge of Unix/Linux
Knowledge about cloud technologies like AWS, Azure, Snowflake, Mongo Atlas, and Databricks
Knowledge about Helm chart to manage the Kubenetes resources
Knowledge about Spring framework (Spring MVC, Spring Boot, Spring Integration Test), with strong mindset of Clean Code and Clean Architectural design