Machine Learning Developer (Hybrid)

Job Description

<p><p>Join to apply for the Machine Learning Developer (Hybrid) role at Morgan Stanley.</p>
<p>We're seeking someone to join our Trade Surveillance Analytics team as a Machine Learning Developer in Non-Financial Risk Technology to build robust data pipelines, scalable ML systems, and innovative analytics and collaborate with Data Scientists, Developers, and cross-functional stakeholders to transform big data into actionable insights—bringing high-impact analytics from concept to production.</p>
<p>In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Software Engineering III position at Associate level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.</p>
<p>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.</p>
<p>Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…</p>
<h3>What You’ll Do In The Role</h3>
<ul>
<li>Design, develop, and maintain data pipelines for ingesting, transforming, and analyzing large-scale trading datasets.</li>
<li>Implement and productionize advanced analytics and machine learning workflows—leveraging Spark, Python and modern big data technologies.</li>
<li>Collaborate closely with Data Scientists and Engineering team members to operationalize models and automation.</li>
<li>Optimize code and data workflows for performance, scalability, and reliability.</li>
<li>Leverage MLOps components, automate feature engineering as part of robust, production ML workflows.</li>
<li>Write clean, well‑tested, well‑documented code and participate in code reviews.</li>
</ul>
<h3>What You’ll Bring To The Role</h3>
<ul>
<li>Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field.</li>
<li>5+ years of relevant professional experience in software development, data engineering, or machine learning applications.</li>
<li>Programming: Proficiency with Python (ex. Pandas, NumPy, Jupyter Notebooks), SQL for data engineering and analytics.</li>
<li>Exposure and/or interest in the latest technologies in machine learning, AI (Modern AI: Generative AI, Multi‑Agent Systems, MCP, Agentic AI architectures) and big data; advocate for best practices across the team.</li>
</ul>
<h3>Highly Desirable Skills (Any Of The Following)</h3>
<ul>
<li>Experience with Java, Scala (e.g. Spark)</li>
<li>Big Data & ML Platforms: Spark, Databricks, Snowflake, Azure</li>
<li>Machine Learning & MLOps: Feature stores, model registry, MLOps frameworks, continuous model monitoring and retraining, scalable model deployment</li>
<li>Front‑end Development: React (for building dashboards or UI integrations)</li>
</ul>
<p>At Morgan Stanley Montreal, we support the Firm’s global businesses and infrastructure with cutting‑edge technology and innovation. The multi‑faced and highly technical Montreal team plays a critical role in building and maintaining our leading technology platform, including electronic trading, algorithm trading, cloud engineering, infrastructure, cybersecurity and AI/ML. 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. There’s ample opportunity to move across the businesses for those who show passion and grit in their work.</p>
<p>All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.</p>
<p>Knowledge of French and English is required.</p>
<p>Build a career with impact. Visit morganstanley.com for more information.</p>
<p>Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.</p></p>
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