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AI Engineer

  • Office
  • 3-6 years

Salary

Not stated

Similar roles pay $120K - 180K a year · our estimate

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Description

Combine Corporate Actions Expertise with AI Engineering to Transform Financial Services Operations

Responsibilities

  • At the company, we're looking for an AI Engineer who combines a strong understanding of corporate actions and asset servicing with hands-on experience in AI, automation and document-processing technologies.
  • You'll help leading financial institutions modernise how they process complex corporate-action documentation by developing solutions that automate the extraction and validation of critical information. Your work will help improve processing capacity, accuracy and scalability while reducing manual effort across securities operations.
  • Working at the intersection of financial services and technology, you'll use Python, APIs, large language models (LLMs) and document AI technologies to develop practical solutions that address real-world operational challenges.
  • You'll collaborate with corporate actions, custody, asset servicing and technology teams to translate complex business rules into effective extraction, validation and workflow logic, ensuring solutions reflect the requirements of corporate-action processing.
  • Develop and implement AI-powered document-processing solutions to automate the extraction and validation of critical information from lengthy corporate-action announcements, notices and supporting documentation.
  • Apply corporate actions and asset servicing expertise to understand event requirements, elections, entitlements and exception-processing workflows.
  • Use Python, APIs, LLMs and document AI technologies to develop extraction, validation and automation capabilities that support efficient and accurate securities processing.
  • Translate business rules and operational requirements into technical logic, ensuring solutions accurately reflect corporate-action processing requirements and validation needs.
  • Collaborate with business and technology stakeholders to identify processing challenges, test and refine solutions, and improve operational efficiency, processing capacity and scalability.

Requirements

  • 5+ years of relevant experience in corporate actions, asset servicing, custody, securities operations or related financial services technology.
  • Strong understanding of corporate-action processing, including event lifecycles, mandatory and voluntary events, elections, entitlements and exception management.
  • Hands-on experience developing or implementing AI, automation or document-processing solutions, with practical involvement in technical delivery.
  • Technical experience with Python, APIs, LLMs and document AI technologies, including the ability to apply these capabilities to financial services processing challenges.
  • Ability to translate complex corporate-action business rules into extraction, validation and workflow logic, combining technical problem-solving with financial services domain expertise.
  • Bonus Points For
  • Familiarity with ISO 15022 and ISO 20022 messaging standards and their application within corporate actions and securities processing.
  • Experience as a Corporate Actions Developer, Asset Servicing Technology Analyst or AI Engineer with corporate-actions experience.
  • Exposure to processing structured and unstructured corporate-action documents using AI, automation or intelligent document-processing technologies.
  • Experience integrating AI or automation solutions with existing custody, securities processing or asset servicing platforms.
  • Understanding of data quality controls, exception management, auditability and operational risk within financial services workflows.

Conditions

The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment.

The company is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity.

Canada Pay Transparency

$118,000 - $152,000 CAD

Benefits

  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across FS & Energy.
  • We offer a competitive, people-first benefits package designed to support every aspect of your life:
  • Comprehensive Benefits Coverage: 100% company-paid health, life, and disability insurance effective from Day 1 of employment.
  • Retirement Savings Program: Registered Retirement Savings Plan (RRSP) with the option of receiving a matching employer contribution.
  • Virtual Health Care: Company-paid program available to all employees and their dependents/partners.
  • Employee & Family Assistance Program (EFAP): Company-paid support services for employees and their dependents/partners.
  • Parental Leave Top-Up: Enhanced parental leave benefits available from Day 1 of employment.
  • New Parent Gift: A company-sponsored gift to celebrate the arrival of a new child.
  • Wellness Support: Fitness reimbursement benefit to promote health and well-being.
  • Business Coach from Day 1: Personalized one-on-one coaching to support career growth, accelerate development, and help achieve your professional goals at the company.
  • Inclusion at the company
  • We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At the company, we believe that being yourself is your greatest strength. Our BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.
  • Why This Role Is Open
  • We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact.
  • Use of Artificial Intelligence in Talent Acquisition
  • At the company, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.
  • AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Where you’d work

From the office

About the company

Company hidden

Office in Toronto, Canada

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 15 checks run
  • 4 good signs
  • 0 red flags

Still hiring?

10 checks

Actively hiring

In its favour2

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence

How crowded?

5 checks

Low

In its favour2

  • In its Early Window: not on the big job boards yetStrong evidence
  • In the office in Toronto: only people nearby can take itSlight evidence

Fits Me

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  • Must-haves
Details10 facts · Role, Location, Compensation
Tech stack
  • Python
  • LLMs
Equity
Equity offered
Specialty
ML
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Experience
5+ years
Tech stack
  • Python
  • LLMs

Location

Work model
Office
Region
Canada
Office
  • Toronto, Canada

Compensation

Salary
Salary by agreement
Pay period
Annual
Equity
Equity offered

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