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Toronto, Ontario, Canada
Onsite
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.
The Enforcement Division supports the OSC in delivering fair, vigorous and timely enforcement. Enforcement investigates and litigates breaches of securities laws in Ontario. The division works closely with other securities regulators, self-regulatory organizations, and law-enforcement agencies to enhance initiatives to fight misconduct. The division is currently hiring for the position of a Data Scientist to be a part of the eDiscovery & Analytics Team.
This unique position will support the division's case assessment, investigation, and litigation teams through the creation and implementation of custom data science solutions. The role requires strong expertise in designing and implementing data science solutions, as well as a solid understanding of capital markets data.
What's in it for you?
· Opportunity to support enforcement actions and assist with high profile and complex matters,
· Be part of a dynamic work environment with a collaborative, progressive, and professionally diverse team and,
· Make a difference and have a meaningful impact on investors and participants in Ontario's capital markets.
What will you do?
As part of the Data Science team, you will:
Data Science and Solution Development
· Gather requirements, then design, test and deliver data analysis and automation solutions to meet the division's needs.
· Document methodology, code and results so analyses are reproducible and can be explained and defended in litigation.
· Write code in Python to clean, transform and analyze large structured and unstructured data sets.
· Build on the team's shared code base and tools, and participate in code review and quality assurance.
· Develop and maintain software tools that improve the capabilities and efficiency of Enforcement.
· Read and dissect research papers to understand key points and tailor analysis to suit.
· Apply large language models, within approved use cases, to assist Enforcement teams in reviewing and extracting information from large volumes of documents, including prompt engineering and scalable batch processing.
· Research the use of generative AI for enhancing information detection and extraction, information restoration, and its potential misuse by others.
· Provide concise monthly reporting on assigned products, solutions and case work, explaining technical work in plain language.
· Build training modules and educate Enforcement team members on newly developed processes.
Case Assessment, Investigations, & Litigation Support
· Analyze financial market trading data to identify potentially manipulative or deceptive trading and insider trading.
· Develop custom algorithms at the request of Enforcement teams.
· Perform investigative analysis throughout the case lifecycle, identifying critical patterns and entity relationships, and present findings to Enforcement teams.
· Validate source data for completeness and integrity before analysis and work with case teams to resolve gaps.
· Support case prosecution and legal actions by preparing and presenting analyses, interpretations and reports.
What do you need to be successful in this role?
· Undergraduate degree in Mathematics, Applied Mathematics, Computer Science, Computer Engineering, Statistics, or a related discipline in STEM (Science, Technology, Engineering, and Mathematics).
· 3+ years of relevant experience in data science, AI, engineering or quantitative analysis roles.
· Hands-on experience with LLM inference and optimization, including designing efficient inference pipelines, implementing batching strategies, and applying CUDA-based performance optimizations. Experience writing and optimizing custom CUDA kernels is a plus.
· Advanced proficiency in Python, including familiarity with data science and AI libraries such as PyTorch and Transformers.
· Working knowledge or solid understanding of the following:
o manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from diverse sources and formats
o natural language processing and large language models for document analysis
o outlier detection modeling, regression analytics and other predictive modeling
o computer software design and database administration, including complex database querying
· Academic research experience with the ability to comprehend and apply research papers and publications.
· Strong analytical skills with the ability to analyze large datasets including creating frameworks used by Enforcement teams to visualize data, patterns, and statistical relationships.
· Excellent problem solving and strategic thinking skills.
· Clear and concise verbal and written communication skills.
· Strong work ethic and organizational skills to meet aggressive deadlines in a fast-paced environment.
· Internally motivated, dynamic, able to work proficiently both independently and in a team environment.
Grow your career and make a difference working at the OSC.
* OSC Employees: please apply in Workday using the Browse Jobs feature within your Jobs Hub *
We thank all applicants for their interest in the Ontario Securities Commission. We will contact those selected for an interview.
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.
