Data Analyst

1 month ago


Old Toronto, Canada Société Financière Manuvie Full time

We are seeking a skilled Data Analyst to develop sophisticated AI and ML models to enhance Société Financière Manuvie's anti-fraud program.

Responsibilities

  • Collaborate with the anti-fraud team to understand requirements and translate business problems into analytical solutions.
  • Conduct data exploration and preprocessing to identify patterns, trends, and anomalies in transactional data.
  • Develop and refine machine learning models for fraud detection, applying a variety of data sources and advanced analytical techniques.
  • Stay abreast of the latest developments in fraud detection technology and analytics methods.
  • Contribute to the continuous improvement of the anti-fraud program's analytical capabilities.
  • Develop analytical solutions using ML, graph analytics and link analysis to support investigations of fraud or misconduct.
  • Design and implement experiments to validate and optimize machine learning models, ensuring accuracy, efficiency, and scalability.
  • Deploy machine learning models and applications on cloud platforms like Azure ML or Databricks, ensuring seamless integration and scalability.
  • Collaborate with data engineers and ML engineers to integrate data science solutions into existing systems and workflows.
  • Communicate complex technical concepts and findings to both technical and non-technical partners, ensuring clear understanding and agreement.

Requirements

  • Bachelor's, Master's degree, or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Proven experience in data science, analytics, or a related field, with a focus on fraud detection preferred.
  • Proficiency in programming languages such as Python and experience with machine learning libraries/frameworks, e.g., PyTorch, scikit-learn, graph databases (Neo4j/Cypher, Cosmos DB/Gremlin).
  • Knowledge of professional software engineering practices & standard methodologies for the full software development process, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Flexible work policies and strong work-life balance.
  • Delivering the promise of Diversity, Equity and Inclusion: We foster an inclusive workplace where everyone thrives.
  • Championing Corporate Citizenship: We build a business that benefits all partners and has a positive social and environmental impact.

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