Data Scientist

Ontario Securities Commission•Toronto, ON

11d•Hybrid

About The Position

The Ontario Securities Commission (OSC) is seeking a Data Scientist to report to the Head of Data Strategy & Analytics. This role is responsible for the hands-on development and delivery of data products in cloud environments for advanced analytics and reporting. Operating within a Hub-and-Spoke model, the Data Scientist will provide advanced analytics and data science services to all divisions, fulfilling tasks assigned by their manager. The position involves participating in code reviews, knowledge sharing, and quality assurance of deliverables. The Data Scientist will also collaborate with management to identify new tools and approaches for organizational analytics needs. This role requires strong expertise in designing and implementing advanced analytics services, a deep understanding of capital markets data and regulatory requirements, and the ability to translate abstract concepts into tangible deliverables.

Requirements

Undergraduate degree in STEM programs, including Mathematics, Computer Science, Computer Engineering, Business or other related discipline
3+ years of relevant experience in Data Science or Advanced Analytics Roles in the capital market industry
Experience with Advanced Analytics, Data Science and/or application development
Proven track record of contributing to growing teams
Adept in Agile Methodologies
Proven track record of managing expectations and resourcing around major project initiatives
Ability to work independently, understand and assess the impacts of daily work
Advanced proficiency and experience working with analytics and application development languages, such as Python, R, Scala, Spark, Angular, React JS, PowerBI etc.
Ability to develop and deliver effective reports, presentations, briefing notes and papers to management
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 qualitative and quantitative formats
Able to work well independently with minimal supervision, and within a team environment
Excellent organization and planning skills, with ability anticipate and mitigate business problems and to navigate ambiguity
Sophisticated communication skills (verbal and written) to author reports, conduct presentations and to lead information gathering with clients
In-depth knowledge of financial concepts, Securities Act and regulations, and the capital market participants, and their contextual relationship with analytics and data science needs

Nice To Haves

Master’s degree in related discipline preferred but not required

Responsibilities

Overall responsibility of data product deliverables: from inception to production, by leading in defining and recommending system enhancements, application design, reporting/data requirements and conversion activities
Mining, cleaning and delivery of data products to business users with the expertise to write code, analyze and synthesize large data sets
Deliver dashboard insights and data science services to all branches at the OSC
Contribute to organization best practices for analytics and data science through recommendations to team lead
As subject matter expert, participate in code review, knowledge sharing and quality assurance of any deliverable outputs
Liaise with stakeholders to onboard and refine data needed to perform data analytics, queries, and research.
Lead a variety of challenging analytics projects in parallel and taking ownership of Service Level Agreements (SLA) and overall project deliverable timelines.
Ensuring end deliverables of analytics projects meet end user expectations, and make modifications where required
Architect, test and deliver complex cloud-based analytics in a prototype fashion to establish quick wins and establish business value
Build and maintain security master databases for various financial instruments including equities, bonds, exchanged traded and OTC derivatives, FX, Interest rate, etc.
As a team member in an Agile Framework, lead the Agile ceremonies such as sprint planning, backlog grooming, stakeholder demos and daily scrums
Liaise effectively with OSC staff on opportunities to improve analytics and data science support, and work with them to design actionable implementation plans including but not limited to requirement gathering, sprint reviews, demonstrations of capabilities and sustained delivery of end product