Overview
On Site
USD 150,000.00 - 210,000.00 per year
Full Time
Skills
FRM
MRM
Inventory
Front Office
Finance
Meta-data Management
Risk Management
Artificial Intelligence
Machine Learning (ML)
Data Management
Inventory Management
Event Management
Documentation
Generative Artificial Intelligence (AI)
Analytics
Open Source
Big Data
UI
React.js
Reporting
Systems Architecture
Effective Communication
Python
Teamwork
Analytical Skill
Problem Solving
Conflict Resolution
Backend Development
Software Design
mvc
Data Structure
Algorithms
Design Patterns
Multithreading
Caching
Collections
API
Streaming
Functional Programming
Java
Spring Framework
JSR
JUnit
Apache Commons
Relational Databases
IBM DB2
SQL
MongoDB
Cloud Computing
Microsoft Azure
Snow Flake Schema
Databricks
Workflow
BPMN
Behavior-driven Development
Jbehave
Cucumber
Test-driven Development
Git
Gradle
Jenkins
RESTful
Web Services
HTTP
XML
JSON
Unix
Linux
Database
Management
Expect
Web Browsers
Recruiting
SAP BASIS
Collaboration
Partnership
Military
Law
Job Details
Model Risk Management (MRM) is 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.
We are looking for highly motivated individual with hands-on Java development experience, to support building the new Model Eco system. 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 on Azure Cloud.
The candidate needs to be able to understand distributed systems architecture, be a team player with effective communication skills and passionate about programming in a distributed, event-driven pub/sub environment using Core Java, and Python. The candidate should enjoy working in a highly collaborative environment that values teamwork.
Required Skills:
- 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
Desired Skills:
- 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
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
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.
We are looking for highly motivated individual with hands-on Java development experience, to support building the new Model Eco system. 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 on Azure Cloud.
The candidate needs to be able to understand distributed systems architecture, be a team player with effective communication skills and passionate about programming in a distributed, event-driven pub/sub environment using Core Java, and Python. The candidate should enjoy working in a highly collaborative environment that values teamwork.
Required Skills:
- 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
Desired Skills:
- 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
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste into your browser.
Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.