Morgan Stanley-posted 2 months ago
$150,000 - $210,000/Yr
New York, NY
5,001-10,000 employees
Securities, Commodity Contracts, and Other Financial Investments and Related Activities

Model Risk Management (MRM) is a second-line function within the Firm Risk Management (FRM) division that reviews Models and provides critical input in the Model certification and approval process for the firm. MRM Validation Studio application provides services to MRM reviewers to perform model reviews. 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 technology team supports cross-divisional business area with high visibility and oversight from both internal risk management and external regulatory authorities across the globe. Model modernization is an initiative to support on-going growth in business functionality, support changing regulatory environment, including implementing new global policy frameworks such as AI/ML/GenAI model framework. As part of the modernization, the team is tasked with building a Model Eco-system including a modern Model data management platform 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.

  • Support building the new Model Eco system.
  • Work with 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 on Azure Cloud.
  • 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).
  • 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).
  • Knowledge of HTTP, XML, JSON.
  • Knowledge of Unix/Linux.
  • Knowledge of Liquibase database schema management.
  • Comprehensive employee benefits and perks.
  • Opportunities for career advancement within the company.
  • Support for employees and their families at every point along their work-life journey.
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