Data Science Manager, Liquidity and Funding Management
$82,800–$154,800 year
On-siteToronto, Ontario, Canada
Job Summary
Design, implement, and manage analytics and reporting solutions for liquidity and funding risks by developing quantitative models, stress testing frameworks, and machine learning algorithms. Structure data across multi-dimensional granularities to produce regular and ad-hoc reports, dashboards, and insights for business leaders. Collaborate with liquidity risk experts to assess feasibility of AI/ML solutions, monitor tool performance, and address user acceptance testing issues. Identify patterns and trends through large-scale analysis to provide recommendations that maintain market competitiveness and support data-driven decision-making.
Required Qualifications
- Intermediate level of proficiency: Mathematics, statistics & operations research
- Deep learning
- Machine learning
- Trust, bias and ethics
- Creative thinking
- Critical thinking
- Advanced level of proficiency: Big data
- Data visualization
- Computational thinking and programming
- Data wrangling
- Data preprocessing
- Creative reasoning
- Verbal & written communication skills
- Collaboration & team skills
- Analytical and problem solving skills
- Influence skills
- Data driven decision making
- Typically between 5 - 7 years of relevant experience
- Post-secondary degree in related field of study or an equivalent combination of education and experience
- Deep knowledge and technical proficiency gained through extensive education and business experience with statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS, Spark
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