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Data Scientist, AML Models and Analytics

  • Job
    Full-time
    Mid & Senior Level
  • Data
    IT & Cybersecurity
  • Toronto

AI generated summary

  • You should have a STEAM degree, experience in data science methods, Python, SQL, databases, cloud tools (GCP), and strong communication skills. Spanish fluency is a plus.
  • You will develop and maintain AML models, document processes, collaborate on compliance, communicate insights, and support users to ensure effective model governance and risk assessment.

Requirements

  • A Bachelor’s degree or higher in STEAM (Science, Technology, Engineering, Analytics, or Mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modeling, or related experience with data analysis, statistical modeling, and machine learning.
  • Experience with statistical modeling and data science methods; programming in Python (familiarity with popular libraries for data science, machine learning, and visualization such as Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn, ggplot2); querying using SQL or any SQL-like language is preferred; experience with Apache Spark is beneficial.
  • Experience with databases such as Oracle or SQL Server, as well as big data technologies such as Hadoop, Hive, Spark, or other distributed computing frameworks (BigQuery).
  • Experience with cloud-based infrastructure and tools (specifically GCP) and either Linux and/or BitBucket is beneficial.
  • Experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or Vertex AI is nice to have.
  • Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment.
  • Fluency in Spanish is considered an asset.

Responsibilities

  • Apply a range of modeling techniques from basic statistical models to AI and Machine Learning to develop, maintain, and implement models for Client Risk Rating case generation in support of Scotiabank’s AML program.
  • Create and maintain documentation for models and the results of data analysis.
  • Collaborate and coordinate with teams from model validation, internal audit, and external audit to ensure that models meet all legal and regulatory requirements.
  • Communicate complex data findings and insights to technical and non-technical stakeholders.
  • Support communication with first and second lines of business and other stakeholders and recommend changes to AML Client Risk Rating models as appropriate.
  • Support communication with model users to ensure that model limitations are properly understood and that models meet model governance/usage requirements.

FAQs

What is the main responsibility of the Data Scientist in this role?

The main responsibility is to analyze and improve Client Risk Rating (CRR) models to enhance operating efficiency within the Global Compliance and AML Team.

What educational background is required for this position?

A Bachelor’s degree or higher in STEAM (Science, Technology, Engineering, Analytics, or Mathematics), statistics, data science, artificial intelligence, computer science, or related fields is required.

What programming languages and tools should a candidate be familiar with?

Candidates should have experience with programming in Python, particularly with libraries such as Numpy, Pandas, Scikit-learn, Matplotlib, and Seaborn. Familiarity with SQL and big data technologies like Hadoop and Spark is also preferred.

Is experience with machine learning frameworks necessary for this role?

While not strictly necessary, experience with deep learning frameworks such as TensorFlow, Keras, PyTorch, or Vertex AI is considered a nice-to-have.

What skills are important for communication in this position?

Strong communication skills, both oral and written, are essential, along with the ability to collaborate effectively in a hybrid team environment.

Is fluency in any particular language an asset for this role?

Yes, fluency in Spanish is considered an asset for this position.

What kind of training and support does Scotiabank provide for this role?

Scotiabank offers in-depth training to prepare new employees for the role, along with ongoing coaching and feedback to help them succeed.

What benefits are included in the rewards package for this role?

The rewards package includes a performance bonus, Employee Share Ownership Program, Pension Plan Matching, and health benefits from day one.

Where is this position located?

This position is located in Toronto, Ontario, Canada.

What is Scotiabank's commitment regarding diversity and inclusion?

Scotiabank is committed to creating and maintaining an inclusive and accessible environment for everyone, valuing the unique skills and experiences each individual brings to the bank.

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