Data Scientist F/H - Informatique de gestion (H/F)

We’re seeking someone to join our team as an Associate in the Non-Financial Risk (NFR) department to support the Financial Crime team to maintain, develop, design and optimize surveillance models, approaches, and tools using advanced analytical techniques like supervised and unsupervised machine learning, and evolving techniques like graph analytics. These surveillances and other tools help identify suspicious and/or illegal behaviors such as money laundering, market manipulation, insider trading, unfair sales or trading practices, and other financial crimes

In the Legal & Compliance division, we assist the Firm in achieving its business objectives by facilitating and overseeing the Firm’s management of legal, regulatory and franchise risk. This is an Associate level position within the Data and Analytics department to support the team as they develop and maintain tooling for the wider Privacy NFR team.

Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world .

Develop and implement advanced data analytics solutions for financial crimes detection and prevention.
Use graph-based techniques, graph analytics infrastructure to identify client behavior patterns to assist in financial crime investigations and build solutions for financial crime detection.
Perform statistical and quantitative analysis to support inclusion of risk attributes, analyze, and propose thresholds for financial crime detection controls.
Collaborate closely with stakeholders in the Global Financial Crimes, Technology and Model Risk Management departments to deliver analytics solutions from conception to deployment.

Advanced quantitative degree in machine learning, statistics, mathematics, data science, computer science, engineering, or other highly quantitative fields.

• 3+ years of hands-on industry experience in conducting statistical analysis, developing quantitative models and deploying production quality code adhering to best practices and SDLC standards.
• Experience with graph databases and network analysis tools (e.g. Strong presentation, written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical audiences.

The multi-faceted and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, data analytics, cloud engineering, cybersecurity and digital technologies. Morgan Stanley has been rooted in the Montreal community since 2008 and is considered a leading employer among the area’s highly skilled technology talent.

We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required

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. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences.