Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Analytics and Innovation Engineer is responsible for developing quick-to-value analytics and applications to support ongoing business needs within a small and growing team. This role monitors emerging trends and new technologies, evaluates their feasibility, and provides recommendations on new technologies, equipment, and tools. The position is central to the organization's Artificial Intelligence (AI) roadmap, focusing on architecting and delivering the organization’s first suite of internal LLM-powered tools.

Responsibilities

Develop clear requirements and deliver MVP solutions in an Agile team setting.
Work on challenging projects and communicate roadblocks and needs to meet stakeholder deadlines.
Architect, test, and deliver complex cloud-based application solutions in a prototype fashion.
Collaborate with internal technical teams to move prototypes into production.
Ensure all requirements and risks are factored into ongoing support initiatives.
Establish a strong understanding of data entities and their relationships with analytics and data science needs.
Participate in Agile ceremonies such as sprint planning, backlog grooming, stakeholder demos, and daily scrums.
Identify blockers and collaborate with the team lead to resolve them.
Participate in code reviews and provide input on technology stack design.
Formalize development standards and share industry best practices.
Introduce a rapid development model geared at delivering quick, actionable value.
Assist in the design of analytics workbench spaces and data aggregations with cloud infrastructure specialists.
Participate in projects from inception to end-state production, defining and recommending system enhancements, application design, reporting/data requirements, and conversion activities.
Design, develop, and deploy the organization's foundational LLM applications, transitioning proof of concepts into scalable internal production environments.

Requirements

Undergraduate degree in STEM programs, including Mathematics, Computer Science, Computer Engineering, Business, or other related disciplines.
5+ years of relevant technology roles.
Experience with Advanced Analytics, Data Science, and/or application development.
Proven track record of building and growing successful applications and deliverables.
Experienced in Agile Methodologies.
Experience with version control and CI/CD with tools such as Jenkins, Docker, git, BitBucket etc.
Ability to work independently, understand system integrations, and assess impacts.
Advanced proficiency and experience working with analytics and application development languages and frameworks, such as Python, Scala, Spark, Angular, React JS etc.
Strong background in data engineering and lifecycle management, with specific experience in preparing unstructured datasets for LLM consumption and establishing evaluation benchmarks for model performance.
Hands-on experience with Large Language Models (LLMs) and a track record of implementing generative AI solutions within a production-grade environment.
Ability to accurately, thoroughly, and efficiently handle/analyze high volumes of data from a variety of sources and formulate data into simple, complete, and concise formats.
Able to work well independently with minimal supervision, and within a team environment.
Excellent organization and planning skills, with the ability to anticipate and mitigate business problems and navigate ambiguity.

Skills

Analytics
Application Development
Cloud-based application solutions
Agile Framework
Code Reviews
Technology Stack Design
Development Standards
Industry Best Practices
Rapid Development Model
Analytics Workbench Spaces
Data Aggregations
Value Add Analytics
Data Science Practices
System Enhancements
Application Design
Reporting/Data Requirements
Conversion Activities
Foundational LLM Applications
Proof of Concepts
Scalable Internal Production Environments
Advanced Analytics
Data Science
Version Control
CI/CD
Jenkins
Docker
Git
BitBucket
Python
Scala
Spark
Angular
React JS
Data Engineering
Lifecycle Management
Unstructured Datasets
LLM Consumption
Evaluation Benchmarks
Model Performance
Large Language Models (LLMs)
Generative AI Solutions
Production-Grade Environment
Data Analysis
Data Formulation
Independent Work
Team Collaboration
Organization
Planning
Problem Mitigation
Ambiguity Navigation

Location

Ontario

Work Type

Regular
Full-time

Experience Level

5+ years of relevant technology roles

Education Level

Undergraduate degree in STEM programs, including Mathematics, Computer Science, Computer Engineering, Business, or other related disciplines.

About the Company

The Ontario Securities Commission (OSC) is the statutory body responsible for regulating Ontario’s capital markets in accordance with the mandate established in the provincial Securities Act and the Commodity Futures Act.
The mandate of the OSC is to provide protection to investors from unfair, improper or fraudulent practices, to foster fair, efficient and competitive capital markets and confidence in the capital markets, to foster capital formation, and to contribute to the stability of the financial system and the reduction of systemic risk.
This mandate is performed through policy, operational, and enforcement activities.
The OSC also contributes to national and global securities regulation development.
We offer a diverse, fair, and flexible work environment and take pride in our challenging and rewarding work.

Equal Opportunity

The OSC is committed to diversity and providing an inclusive workplace and providing accommodation in accordance with the Accessibility for Ontarians with Disabilities Act and the Human Rights Code.
It is our priority to ensure employment opportunities are visible and barrier-free to all under-represented groups including but not limited to, Indigenous, Black and racialized groups, people with disabilities, women and people from the 2SLGBTQI+ community, to achieve an employee demographic profile reflective of the demographic profile of Ontarians.
The OSC is a proud partner with the following organizations: Ascend Canada, BlackNorth Initiative, Canadian Centre for Diversity and Inclusion, and Pride at Work Canada.
If you require an accommodation during the recruitment process, please let us know by contacting our confidential inbox HRRecruitment@osc.gov.on.ca.
Visit Accessibility at the OSC to review the OSC’s policies on accessibility and accommodation in the workplace.