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Model Control System (MCS) is used to manage firm-wide inventory of models by front-office, finance, operations, control, and other 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 area 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 modern technology stack. The new technology platform being built needs to support model inventory management, workflows, event management, Model Review, Model Usage, Model documentation, GenAI integration, analytics, and reporting. Technology stack includes a wide range of proprietary and open-source technologies including REST API, Workflow and Rule Engine technologies, scalable big-data platforms, No-Sql databases, UI – ReactJS/Redux and reporting tools.
Job Responsibility:
Building a new Model management platform using a modern technology stack
Support building the new Model management platform
Understand distributed systems architecture
Programming in a distributed, event-driven pub/sub environment using Core Java, and Python
Working in a highly collaborative environment that values teamwork
Requirements:
Very strong analytical and problem-solving abilities
7-15 years of experience in Java backend development
Very strong knowledge of software design principles: MVC, data structures, graph data, algorithms, design patterns, multithreading, caching, recursion
Strong knowledge of core Java: class loading, garbage collection, Java collections API, Reflections API, Java Streams and Functional Programming
Strong knowledge of common Java frameworks (Spring, JSR-303, Logback, Junit, Apache Commons)
Strong Knowledge of Relational Databases and SQL (DB2)
Good Knowledge of No-SQL Databases (Mongo DB)
Nice to have:
Cloud tech stack – Azure, Snowflake, Databricks
Workflow Engine – BPMN, DMN – Camunda 7/8
Strong knowledge of BDD (behavior-driven development) with JBehave/Cucumber
Experience with TDD (test driven development)
Strong knowledge of GIT source code management
Knowledge of Gradle, Jenkins automated build processes
Strong knowledge of Representation state transfer (RESTful Web services)