[ref. s06003702] Lead, Data Scientist (Contract)
Job Summary
Job Description
What is the opportunity?
4 month contract. This role will oversee a team of data scientists.
What will you do?- Oversee a team of data scientists, provide assignments, conduct quality check on deliverables, provide trainings and answer questions, and ensure that the project roadmap is executed, and the schedules / milestones are met.
- Automate risk assessment process by Python or VBA script to reduce manual efforts and increase efficiency and consistency;
- Review and validate large amount of quantitative data (e.g. client, transaction, geography, product etc.) which feeds into the Inherent Risk and Control Assessment (IRCA) to calculate quantitative risk rating;
- Review data mapping and aggregation, and conduct quality assurance review on qualitative risk questionnaire;
- Utilize NLP and/or text mining to draw meaningful insights from large amount of unstructured data.
- Visualize the data for stakeholders to review.
- Complete other assignments supporting sanctions risk assessment.
- highly technical and proficient in Python (pandas) to process large amounts of data.
- Advanced Excel (e.g. VBA, complex formulas, pivot table, data analysis, aggregation and validation etc).
- strong knowledge in data visualization, presentation and reporting, e.g. Tableau Desktop.
- Be able to see big picture, while pay attention to details.
- 5 years plus relevant work experience.
- We need someone who can start ASAP.
Job Skills
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning, Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)
Additional Job Details
Address:
20 KING ST W:TORONTO
City:
TORONTO
Country:
Canada
Work hours/week:
- 5
Employment Type:
Full time
Platform:
GROUP RISK MANAGEMENT
Job Type:
Contract (Fixed Term)
Pay Type:
Salaried
Posted Date:
2025-01-09
Application Deadline:
2025-01-24
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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