Data Scientist

Momentum Financial Services GroupToronto, ON
CA$95,000 - CA$105,000Hybrid

About The Position

We’re seeking a Data Scientist to develop advanced analytical and machine learning solutions that support credit risk, fraud detection, marketing optimization, and customer segmentation. This role will leverage large-scale data to generate insights, improve decision-making, and drive measurable business impact across the organization.

Requirements

  • 2+ years of experience in financial services, credit risk, fraud analytics, or marketing analytics
  • 2+ years of experience applying data science to solve business problems
  • Strong experience with SQL, Python, R, or similar analytical tools
  • Ability to perform descriptive, diagnostic, predictive, and prescriptive analytics
  • Strong problem-solving skills with the ability to translate data into actionable insights
  • Bachelor’s degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, Economics, Finance, or Engineering
  • Proficiency in programming languages such as Python (preferred), R, or SAS
  • Strong SQL skills for data extraction and analysis
  • Experience with machine learning libraries and statistical modeling

Nice To Haves

  • Master's or PhD in a related field is an asset
  • Familiarity with NLP and modern AI techniques (e.g., LLMs) is an asset

Responsibilities

  • Design, develop, validate, and deploy predictive and prescriptive models across financial products
  • Apply machine learning, statistical, and optimization techniques to solve business challenges such as credit risk, fraud detection, pricing, and customer acquisition
  • Ensure models are scalable, compliant, and deliver measurable impact
  • Analyze large and complex datasets to identify patterns and extract meaningful features
  • Improve model performance through data-driven insights
  • Partner with data engineers, product teams, risk teams, and business stakeholders
  • Translate business needs into data science solutions and communicate insights effectively
  • Ensure models align with regulatory requirements and internal governance standards
  • Support audit and validation processes
  • Monitor model performance and implement enhancements or retraining
  • Explore new tools, techniques, and approaches to improve outcomes
  • Lead and support projects such as portfolio optimization and customer behavior analysis
  • Collaborate across business lines including marketing, operations, and card services

Benefits

  • Discretionary Annual Bonus
  • Comprehensive Benefits: health and dental plans with 100% of the premiums covered
  • Employee Assistance Program
  • Retirement Plans
  • Tuition assistance
  • Professional development
  • Discounts through Perkopolis
  • Rewards and recognition programs
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service