Data Scientist, Financial Crimes Risk Mgmt. Models - Toronto, Canada - Scotiabank

Scotiabank

Verified Company

Toronto, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Requisition ID: 179464

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Purpose of Job

This role contributes to the overall success of Global Risk Management's AML/ATF team by analyzing and improving client risk rating models thereby enhancing operating efficiency and is conducted in compliance with governing regulations, internal policies, and procedures.

Key Job Accountabilities

Creation and maintenance of documentation for models and for the results data analysis
Collaborating and coordinating 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 nontechnical stakeholders
Support the communication with first and second lines of business and other stakeholders, and recommending changes to AML/ATF client risk rating models as appropriate
Support the communication with model users to ensure that model limitations are properly understood, and that models meet model governance/usage requirements

Skills, Experiences and Functional Competencies

Experience with statistical modeling and data science methods; programming in Python (familiarity working with popular libraries for data science, machine learning, and visualization: such as Numpy, Pandas, Scikitlearn, Matplotlib, Seaborn, ggplot2), querying using SQL or any SQLlike 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
Experience with cloudbased infrastructure and tools, (specifically GCP) and either Linux and/or BitBucket is beneficial
Nice to have experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch
Strong communication (both oral and written) and collaboration skills, with the ability to work effectively in a hybrid team environment

Education and Other Requirements

Bachelor's degree or higher within STEAM, (science, technology, engineering, analytics, or mathematics), statistics, data science, artificial intelligence, computer science, computer engineering, financial modelling or related
Fluency in both English and Spanish is preferred

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas

Guided by our purpose:
"for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.