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Ai In Finance Jobs in Quebec (NOW HIRING)

$140 - $220/hr

The Finance Director will act as a trusted advisor to Senior Management and cross-functional ... We may use Artificial Intelligence (AI) tools to support efficiencies in the candidate screening ...

ABOUT YOUR ROLE Floyd is PSP's in-house AI platform - a custom analyst built for our investment ... Experience in financial services, asset management or capital markets, or with investment-research ...

Reporting to the President and CEO, the Vice-President, Finance is responsible for the financial ... AI Notice Our recruitment tools use AI to assist in the initial screening of applications, but ...

Ensuring regulatory compliance of financial statements in accordance with industry standards ... Leveraging generative AI tools, including coding assistants such as Copilot, Agent Mode and Skills ...

Ensuring regulatory compliance of financial statements in accordance with industry standards ... Leveraging generative AI tools, including coding assistants such as Copilot, Agent Mode and Skills ...

We believe in empowering people. That's why we equip our teams with cutting-edge technology, AI ... Reporting directly to the Senior Manager, Financial Systems, you will play a critical role in ...

Experience in aviation, MRO, engineering, operations, finance, inventory management, supply chain ... Exposure to AI opportunity identification, forecasting, optimization, automation, anomaly detection ...

Showing results 21-40

Ai In Finance information

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

How do professionals in AI in finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in finance?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.
What are popular job titles related to Ai In Finance jobs in Quebec? For Ai In Finance jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Ai In Finance jobs in Quebec look for? The top searched job categories for Ai In Finance jobs in Quebec are:
Infographic showing various Ai In Finance job openings in Quebec as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Forward-Deployed AI Engineering Specialist (Hybrid)

Morgan Stanley

Montreal, QC • On-site, Remote

Full-time

Re-posted 15 days ago


Morgan Stanley rating

8.4

Company rating: 8.4 out of 10

Based on 155 frontline employees who took The Breakroom Quiz

30th of 150 rated financial services


Job description

We are seeking apassionate, collaborative senior GenAIprofessional to help shape how Generative AI is applied across financial and business workflows. This is a high-visibility opportunity to work at the intersection of markets, data, software engineering, and applied AI - building tools that go beyond prototypes and deliver measurable business impact.

You will partner with front-office, control, and technology teams to identify high-value opportunities, turn ambiguity into clear solution paths, and drive delivery from idea to production. The role is designed for someone who can operate with ownership:interfacing withstakeholders, leading workstreams independently, and setting a high bar for execution.

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.

Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on...

What you'll do in the role:

  • Translate business, data, and workflow problems into structured solutions and drive delivery end to end.

  • Design, build, and deploy AI-powered applications, models, dashboards, and automation tools.

  • Partner with trading, sales, risk, finance, operations, and technology teams to identify priorities and deliver measurable impact.

  • Apply strong engineering discipline, including testing, version control, monitoring, and iteration based on feedback and usage.

  • Communicate technical concepts and analytical findings clearly to both technical and non-technical stakeholders.

What you'll bring to the role:

  • At least 6 years of experience in technical roles developing software

  • Senior level judgment, ownership, and the ability to independently lead workstreams from problem framing through delivery.

  • Strong communication skills and comfort working across business and technology teams.

  • Strong Python skills, familiarity with the data science stack, and solid software engineering fundamentals.

  • Experience with Generative AI / LLMs, including prompt design, evaluation, retrieval or tool use, and application development.

  • Familiarity with SQL, APIs, and structured or time-series data.

  • A portfolio of projects, prototypes, published work, or open-source contributions that demonstrate how you frame problems and build solutions; GitHub repositories and public examples are encouraged.

Preferred Background:

  • Experience in financial services or the ability to quickly learn financial products, market structure, and business workflows.

  • Exposure to fixed income, rates, derivatives, pricing, trade lifecycle, or control-oriented workflows is a plus.

  • Quantitative background in computer science, engineering, mathematics, statistics, physics, or a related field.

At Morgan Stanley Montreal, we support the Firm's global businesses and infrastructure with cutting edge technology and innovation. 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, 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.

All our positions are located in Montreal, Quebec. We offer a hybrid work environment, combining remote work and attendance in the office.

Knowledge of French and English is required.

Build a career with impact. Visit morganstanley.com for more information.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 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 https://www.morganstanley.com/about-us/global-offices into your browser.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.


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