Lead Data Scientist responsible for designing and deploying Generative AI solutions. Collaborating closely with clients and mentoring teams in analytics consulting at Tiger Analytics.
About the role
- Financial Crime Data Scientist developing analytical solutions for financial crime detection. Collaborating with operations and IT to enhance efficiency in a hybrid work environment.
Responsibilities
- Develop analytical approaches to reduce volumes to be processed, automate transaction analysis (detecting recurring patterns) and improve operational productivity
- Implement prioritization and targeting mechanisms to focus efforts on the highest-value alerts
- Work closely with operations teams to translate field issues into concrete analytical solutions and support processing activities
- Help implement solutions that address regulatory, operational and efficiency issues
- Work closely with the second line of defence, project teams and IT within a structured governance framework (committees, follow-ups, deliverables) to ensure compliance, quality and robustness of solutions
Requirements
- Bachelor’s degree in data science, statistics, computer science, mathematics or a related field
- A minimum of six years of relevant data modelling or data science experience
- Academic specialization beyond the bachelor’s degree level
- Experience delivering analytical solutions with concrete operational impact (volume reduction, automation, efficiency gains)
- Experience in quickly translating field issues into analytical solutions by working closely with operations
- Knowledge of French is required
- Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
- Expertise in data science (machine learning, statistics) and a good understanding of the limitations in an operational context
- Proficiency in Python, analytical development practices (Git, MLflow, MLOps) and proficiency in distributed environments (Spark)
- Knowledge of Azure / Databricks environment
- Knowledge of financial crime regulatory frameworks (FINTRAC, FATF)
Benefits
- Competitive salary and annual bonus
- 4 weeks of flexible vacation starting in the first year
- Defined benefit pension plan that provides predictable, stable income throughout retirement
- Group insurance including telemedicine
- Reimbursement of health and wellness expenses and telework equipment
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