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Business Information Management Analyst II (Data Scientist II)

  • Toronto, ON, Canada

Contract

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Job details

Job type
Contract
Experience
1.) 2+ years of experience in analytics, data science, model governance, model risk management, fraud analytics, financial crime analytics, or related fields.
Posting language
English
Posted

Original job description

TekStaff's Client has a current vacancy for a Business Information Management Analyst II (Data Scientist II)

Job Description

MUST-HAVE Hard Skills:

1.) 2+ years of experience in analytics, data science, model governance, model risk management, fraud analytics, financial crime analytics, or related fields.

2.) Strong programming skills in Python and SQL.

3.) Hands-on experience working with Databricks, PySpark, and large-scale data environments.

4.) Understanding of machine learning and AI model methodologies, including supervised and unsupervised learning techniques, classification and regression models, ensemble methods, anomaly detection, and emerging AI solutions.

SOFT SKILLS:

1.) Ability to communicate technical model concepts to non-technical stakeholders and facilitate discussions between business partners, model vendors, and Model Validation teams.

2.) Strong documentation, presentation, and communication skills.

NICE-TO-HAVE

1.) Experience working with Model Validation, Compliance, Audit, Model Risk Management, or Regulatory partners

2.) Experience working with third-party model vendors and reviewing vendor models

3.) Prior client, banking or financial institution experience

TekStaff may use artificial intelligence (AI) tools as part of the applicant screening process. However, applications will also be reviewed by a member of our Recruitment team to ensure a fair and thorough assessment.

More about this job

Responsibilities

The role involves performing data science and analytics to support model governance and risk management. The analyst will communicate technical model concepts to stakeholders and collaborate with model vendors and validation teams.

Requirements

Requires 2+ years of experience in analytics or model risk management with strong proficiency in Python, SQL, and Databricks. Candidates should have a deep understanding of machine learning methodologies and the ability to document technical findings.

Skills

  • Python
  • SQL
  • Databricks
  • PySpark
  • Machine Learning
  • AI Model Methodologies
  • Supervised Learning
  • Unsupervised Learning
  • Classification Models
  • Regression Models
  • Ensemble Methods
  • Anomaly Detection
  • Model Governance
  • Model Risk Management
  • Fraud Analytics
  • Financial Crime Analytics

Visa sponsorship

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Categories

  • Data & Analytics
  • Finance & Accounting
  • Technology
  • Science & Research
  • Consulting

Keywords

  • Python
  • SQL
  • Databricks
  • PySpark
  • Machine Learning
  • AI
  • Supervised Learning
  • Unsupervised Learning
  • Classification
  • Regression
  • Ensemble Methods
  • Anomaly Detection
  • Model Governance
  • Model Risk Management
  • Fraud Analytics
  • Financial Crime Analytics
  • Model Validation
  • Compliance
  • Audit
  • Regulatory
  • Banking
  • Financial Services
  • Data Science

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