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.

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.

• 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.

• 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.

• 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.