Overview
On Site
USD 149,000.00 - 165,000.00 per year
Full Time
Skills
Engineering Design
Extraction
Systems Design
Extract
Transform
Load
Distribution
Telecommuting
Computer Engineering
Computer Science
Python
Workflow
Data Collection
NumPy
Pandas
Data Manipulation
Data Cleansing
Data Analysis
EDA
Management
Unsupervised Learning
Algorithms
Text Classification
Named-Entity Recognition (NER)
Natural Language Processing
NLTK
Deep Learning
PyTorch
TensorFlow
Training
BERT
Evaluation
scikit-learn
Data Visualization
matplotlib
Plotly
Flask
Fixed Income
Finance
Documentation
Mortgage
Securities
Forms
Expect
Web Browsers
Recruiting
SAP BASIS
Collaboration
Partnership
Military
Law
Job Details
Design and develop natural language processing methodologies for information extraction from textual data. Utilize specialized knowledge of fixed income classes and financial documents to develop natural language processing models. Collaborate and work with internal technical stakeholders to translate complex customer requirements into tailored natural language processing models. Design, implement, and integrate natural language processing models with existing systems. Design, implement, and support scalable, reliable, high-performance services. Perform exploratory data analysis to build high quality training and validation datasets for model training and evaluation. Apply latest advances in deep learning and natural language processing to improve existing data models, data pipeline and data featurization. Design, implement, test and maintain distribution of natural language processing components for production use. Manage project priorities, deadlines, and deliverables. Telecommuting permitted up to 1 day per week.
Salary:
Expected base pay rates for the role will be between $149,000 and $165,000 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.
Requirements:
Requires a Bachelor's degree in Computer Engineering, Computer Science, or a related field and two (2) years of experience in the position offered or two (2) years as a Manager, Associate, Analyst, or a related role in the technology field. Requires two (2) years of experience with: Using Python to implement end-to-end workflows; data collection and preprocessing to model training and evaluation; data analytics utilizing NumPy and Pandas; data manipulation, data cleaning, transformation, and exploratory data analysis (EDA); Natural Language Processing (NLP) including supervised and unsupervised learning algorithms; feature engineering, model training, and evaluation for text classification, summarization, question answering, named entity recognition, and sentiment analysis; using NLP toolkits including NLTK, SpaCy, and Gensim; deep learning frameworks including PyTorch and TensorFlow for building, training, and deploying neural networks; Hugging Face Transformers library to leverage and fine-tune pre-trained models including BERT, BART, and T5; model evaluation and hyperparameter tuning with Scikit-Learn; data visualization libraries including Matplotlib, Seaborn, and Plotly, to create insightful and interactive visualizations; Flask; fixed-income securities and structured finance documentation for Commercial Mortgage- Backed Securities (CBMS), Residential Mortgage-Backed Securities (RMBS), Asset-Backed Securities (ABS), and Collateralized Loan Obligations (CLO); and reviewing and interpreting credit rating reports, EDGAR forms, and EDGAR exhibits.
Qualified Applicants: To apply, visit us at and enter JR014971 in the search field. No calls please. EOE
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.
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).
Salary:
Expected base pay rates for the role will be between $149,000 and $165,000 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.
Requirements:
Requires a Bachelor's degree in Computer Engineering, Computer Science, or a related field and two (2) years of experience in the position offered or two (2) years as a Manager, Associate, Analyst, or a related role in the technology field. Requires two (2) years of experience with: Using Python to implement end-to-end workflows; data collection and preprocessing to model training and evaluation; data analytics utilizing NumPy and Pandas; data manipulation, data cleaning, transformation, and exploratory data analysis (EDA); Natural Language Processing (NLP) including supervised and unsupervised learning algorithms; feature engineering, model training, and evaluation for text classification, summarization, question answering, named entity recognition, and sentiment analysis; using NLP toolkits including NLTK, SpaCy, and Gensim; deep learning frameworks including PyTorch and TensorFlow for building, training, and deploying neural networks; Hugging Face Transformers library to leverage and fine-tune pre-trained models including BERT, BART, and T5; model evaluation and hyperparameter tuning with Scikit-Learn; data visualization libraries including Matplotlib, Seaborn, and Plotly, to create insightful and interactive visualizations; Flask; fixed-income securities and structured finance documentation for Commercial Mortgage- Backed Securities (CBMS), Residential Mortgage-Backed Securities (RMBS), Asset-Backed Securities (ABS), and Collateralized Loan Obligations (CLO); and reviewing and interpreting credit rating reports, EDGAR forms, and EDGAR exhibits.
Qualified Applicants: To apply, visit us at and enter JR014971 in the search field. No calls please. EOE
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.
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.