Applied AI Experimentation Intern, Finance Innovation Studio - 2026 Summer

EQ Bank | Equitable Bank • Toronto, ON

32d • Hybrid

About The Position

Being a traditional bank just isn’t our thing, so we challenge ourselves to get creative in providing innovative banking solutions for Canadians.

How do we get there? With a talented team of inquisitive and agile challengers that break through the status quo. So, if you’re passionate about redefining the future of banking—while having fun—this could be your next big opportunity.

Our company continues to grow, and today we serve more than 800,000 customers across Canada through Equitable Bank, Canada's Challenger Bank™, and have been around for more than 50 years. Equitable Bank's wholly-owned subsidiary, Concentra Bank, supports credit unions across Canada that serve more than six million members. Together we have over $142 billion in combined assets under management and administration, with a clear mandate to drive change in Canadian banking to enrich people's lives. Our customers have named our EQ Bank digital platform (eqbank.ca) one of the top banks in Canada on the Forbes World's Best Banks list since 2021.

Role Overview
Are you a 3rd- or 4th-year engineering or technical student with advanced coding skills and strong financial acumen? Do you believe lines of code and AI tools like Copilot, ChatGPT, Claude, or Gemini - can fundamentally reshape how financial reporting, analysis, and insights are created?If so, the Finance Innovation Studio wants to hear from you.
The Finance Innovation Studio is an internal sandbox designed to test, learn, and accelerate how artificial intelligence and modern analytics can improve the way Finance work gets done.
The Applied AI Experimentation Intern will work in parallel with the existing Finance team, running structured experiments to explore whether AI‑first approaches can deliver the same outcomes across reports, analyses, insights more efficiently, more creatively, or with less manual effort. This role is intentionally designed to operate as a studio and sandbox, separate from established processes, with a mandate to experiment, document learnings, and surface scalable opportunities.
This is a hands‑on role focused on learning, experimentation, and discovery—not ownership of fnance team deliverables. The role works closely with the CFO, Anilisa Sainani, the Finance Leadership Team, and Technology partners.

The key internship project milestones!
Execute a series of AI experimentation sprints throughout the summer, each focused on a defined Finance or business output (e.g., management reports, financial analyses, performance narratives, decision support materials).
Work from problem statements and target outcomes, without prior exposure to existing processes or templates, to independently explore alternative AI‑first approaches.
Leverage AI tools and platforms with a strong preference for Microsoft Copilot and tools within the enterprise ecosystem, including Power BI, Excel automation, and analytics capabilities.
Apply business and finance judgment to ensure outputs are relevant, decision‑useful, and aligned with how Finance leaders think about performance, risk, and trade‑offs.
Produce experimental outputs alongside concise documentation outlining:
Tools and techniques used
Time and effort required
Key insights, limitations, and learnings
Partner with Finance leaders and subject‑matter experts to review results and identify which experiments may be refined or operationalized.

What this role is (and is not) !
This role is:
80% Coding and AI Exploration & 20% Finance related Innovation Exploration
A sandbox for structured AI experimentation in a Finance context
A parallel discovery role designed to test new methods, not critique existing teams
A learning engine that blends AI fluency with business and finance thinking
This role is not:
Additional execution capacity for existing finance processes
A 100% technology or engineering coding intern role
An owner of production Finance deliverables

Requirements

• Currently enrolled in an undergraduate or graduate program in Engineering, Finance, Accounting, Economics, Business, or a closely related field.
• Have strong language agnostics coding experience (Java, python, #C, C++) and AI experience (ChatGPT, Co-pilot, Claude, and/or Gemini)
• Hands‑on familiarity with modern AI tools, including:
• Prompt‑based “vibe coding” and rapid experimentation
• AI copilots (preference for Microsoft Copilot)
• Data and analytics tools (e.g., Power BI, Excel, or similar)
• Comfortable speaking the language of business and finance (e.g., performance, drivers, trade‑offs, efficiency, outcomes), even if not formally trained as an accountant.
• Strong interest in applying artificial intelligence to real business problems.
• High curiosity, comfort with ambiguity, and ability to learn tools independently.

Nice To Haves

• Prior exposure to Finance, analytics, consulting, or strategy contexts.
• Experience translating technical or analytical outputs into clear business insights.

Responsibilities

• Execute a series of AI experimentation sprints throughout the summer, each focused on a defined Finance or business output (e.g., management reports, financial analyses, performance narratives, decision support materials).
• Work from problem statements and target outcomes, without prior exposure to existing processes or templates, to independently explore alternative AI‑first approaches.
• Leverage AI tools and platforms with a strong preference for Microsoft Copilot and tools within the enterprise ecosystem, including Power BI, Excel automation, and analytics capabilities.
• Apply business and finance judgment to ensure outputs are relevant, decision‑useful, and aligned with how Finance leaders think about performance, risk, and trade‑offs.
• Produce experimental outputs alongside concise documentation outlining: Tools and techniques used Time and effort required Key insights, limitations, and learnings
• Partner with Finance leaders and subject‑matter experts to review results and identify which experiments may be refined or operationalized.

Benefits

• Experience applying AI in a real Finance and business decision‑making environment.
• Direct exposure to senior Finance leadership and strategic initiatives.
• Hands‑on work in an experimentation studio focused on learning velocity and practical impact.
• A rare blend of AI, analytics, and Finance experience that prepare you for future roles in business, consulting, or finance transformation.

What This Job Offers

• Career Level: Intern