Senior Data Scientist

One of Alquemy's clients, a crown corporation in downtown Toronto is looking to bring on a full-time Senior Data Scientist with Capital Markets experience.
About the Role  Reporting to the Head of Data Strategy & Analytics, the Senior Data Scientist is accountable for the end-to-end design, delivery, and continuous improvement of advanced analytics and data science solutions. The role operates with a high degree of autonomy, leading complex initiatives, shaping analytics capabilities, and influencing data-driven decision-making across the organization. This position serves as a subject matter expert, responsible for translating ambiguous business challenges into scalable data solutions, driving innovation, and contributing to the strategic direction of analytics.
Responsibilities    Advanced Analytics and Data Science Delivery:
Own and be accountable for the full lifecycle of data science products, including problem framing, design, development, deployment, and post-implementation optimization, ensuring alignment with business priorities and measurable outcomes.
Mine, clean, and deliver data products to business users using expertise to write code, analyze, and synthesize large datasets.
Deliver dashboard insights and data science services to internal organizational branches.
Architect, test, and deliver complex cloud-based analytics in a prototype fashion to establish quick wins and business value.
Governance, Standards, and Quality Assurance:
Define, implement, and continuously enhance analytics standards, methodologies, and best practices across the function.
Serve as a subject matter expert participating in code reviews, knowledge sharing, and quality assurance of deliverable outputs.
Ensure analytics solutions deliver measurable business value, including adoption, usability, and impact on decision-making.
Stakeholder Engagement and Advisory:
Build and manage senior stakeholder relationships, influencing priorities, shaping requirements, and aligning analytics solutions with organizational objectives.
Provide strategic advisory support to business leaders by identifying opportunities to leverage data and analytics to address regulatory, operational, and policy challenges.
Liaise effectively with organizational staff on opportunities to improve analytics and data science support, designing actionable implementation plans including requirement gathering, sprint reviews, capability demonstrations, and sustained product delivery.
Domain-Specific Expertise & Data Management:
Apply in-depth knowledge of financial concepts, capital markets, and market participants, alongside relevant regulatory frameworks, to meet analytics and data science needs.
Build and maintain security master databases for various financial instruments, including equities, bonds, exchange-traded and OTC derivatives, FX, and interest rates.
Leadership and Project Management:
Lead and independently manage multiple complex analytics initiatives, including prioritization, stakeholder alignment, risk mitigation, and delivery against defined outcomes and service level commitments.
Participate as a team member in an Agile framework, leading ceremonies such as sprint planning, backlog grooming, stakeholder demos, and daily scrums.
Provide mentorship, technical guidance, and informal leadership to junior team members, supporting capability development and promoting best practices across the team.
Qualifications

Education:

Undergraduate degree in STEM programs, including Mathematics, Computer Science, Computer Engineering, Business, or a related discipline.
Master's degree in a related discipline preferred but not required.

Experience:

5+ years of relevant experience in Data Science or Advanced Analytics roles within the capital markets industry.
Demonstrated experience leading complex, ambiguous data science initiatives with minimal supervision.

Experience with Advanced Analytics, Data Science, and/or application development.
Proven track record of contributing to growing teams and expert knowledge of Agile methodologies.
Experience mentoring or coaching team members and contributing to team capability development.
Required Skills    Technical & Analytical

Skills:

Advanced proficiency working with analytics and application development languages/tools, such as Python, R, Scala, Spark, Angular, React JS, PowerBI, etc.
Ability to accurately, thoroughly, and efficiently handle and analyze high volumes of data from a variety of sources, formulating data into clear qualitative and quantitative formats.
Excellent organization and planning skills, with the ability to anticipate and mitigate business problems and navigate ambiguity.
Ability to develop and deliver effective reports, presentations, briefing notes, and papers to management.
Sophisticated communication skills with the ability to work independently with minimal supervision as well as collaboratively within a team environment.

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