Data Scientist - Montréal, Canada - Morgan Stanley

Morgan Stanley

Verified Company

Montréal, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Data Scientist / Machine Learning Specialist (Hybrid)

Job Number:
3231551

POSTING DATE:
Feb 14, 2023

PRIMARY LOCATION:
Americas-Canada-Quebec-Montreal

EDUCATION LEVEL:
Bachelor's Degree

JOB:
Data Management

EMPLOYMENT TYPE:
Full Time

JOB LEVEL:
Associate

DESCRIPTION

We offer:
To work with some of the best professionals in the business for a firm that values individual intellect as much as teamwork
Stateoftheart offices that are designed to maximize collaboration
Flexible working arrangements
Enriching challenges that provide opportunity for constant learning and advancement
An environment which is leveraging technology to its highest potential

Team Profile:
Corporate and Funding Technology is comprised of three primary areas: Operations & Risk, Corporate and Client Financing.

Operations & Risk helps the Firm's businesses while maintaining a strong risk profile. The group includes Operations, Funding, Finance and Risk Technology.
Corporate improves our operating environment and is made up of Legal, Compliance & Corporate Governance, Digital & Corporate Communications and Human Resources Technology groups.
Client Financing platforms provide technology and service to our hedge fund and Asia highnet

- worth clients. Groups include Prime Brokerage, Private Wealth Management Asia and Counterparty Risk Technology.

Operations Technology (OT) develops strategic solutions that support key business processes, including Settlements, Confirmations, Regulatory Reporting, Position Keeping, Anti-Money Laundering and Trade Surveillance. Our clients include Institutional Securities Group, Wealth Management, Enterprise Operational Risk & Control, Risk, Internal Audit and Operations.
Position Description:

Key Responsibilities:

Independently work on endtoend development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
Technical analysis and software development
Design and implement business solution in agile squads
Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
Develop, maintain and track detailed delivery plans
Hands on development, testing, change management (full SDLC)

QUALIFICATIONS

Skills Required:
Master's in Mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
3+ years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
Strong understanding of the foundational concepts and applied experience in Machine Learning (ideally, a combination of excellent academic research and highimpact commercial projects).
In depth understanding of common Machine Learning algorithms (e.g., for classification, regression and clustering).
In depth knowledge of advanced statistical theories, methodologies, and inference tools.
Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
Practical experience in preparing data for Machine Learning integrating with bigdata platforms and highperformance computing ecosystems.
Ability to work with global, crossfunctional teams
Excellent oral and written communication skills.
Development experience in Python or Java/Scala with good command over respective data pipelining, matrix algebra and statistics libraries

Skills Desired:

Linux, Unix, Shell Scripting.
Java, Python, H2O, Keras, Tensorflow
Object-Oriented Programing.
Experience with nonEnglish Natural Language Processing.
Deep learning programming experience with Python/Tensorflow or similar library in a GPU environment
Banking / Financial Services experience is a plus.
Experience working with external reference datasets like SQUAD, SemEval, MSRP, WikTable, WikiQA, AllenAI etc.
Tuning and optimization of sequential deep learning models

About us:

Morgan Stanley is a global financial services firm and a market leader in investment banking, securities, investment management and wealth management services.

At Morgan Stanley Montreal, we are shaping the future of our global business and contributing to our local community. Our team works across numerous areas.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximise their full potential.

Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives and experiences.

Our strong commitment to a culture of inclusion is