Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Toronto, ON, United States
Posted
Yesterday
SQLMachine LearningDatabricksPython
Job Description
Toronto or Markham hybrid (two days onsite), this opportunity is with a leading financial institution. The team is seeking a Data Scientist, specifically a Business Information Management Analyst, for an initial six-month engagement with the possibility of extension. The role focuses on Python, SQL, machine learning methodology, model performance analysis, model governance, Databricks and PySpark.
The main feature of this opportunity is the chance to work at the intersection of data science, fraud prevention and enterprise model governance without being limited to routine data manipulation or model building. You will evaluate third-party machine learning models that help verify customer identity, translate complex technical documentation into clear internal standards, and present your findings to stakeholders. This is an excellent opportunity for a quantitatively strong analyst who enjoys understanding how models work, challenges their performance and communicates technical concepts clearly.
Contract Duration: 6 months (extension possible)
Required Skills & Experience
Desired Skills & Experience
What You Will Be Doing
Tech Breakdown
Daily Responsibilities
The Offer
You will receive the following benefits:
Statutory Vacation
Holiday Pay
The main feature of this opportunity is the chance to work at the intersection of data science, fraud prevention and enterprise model governance without being limited to routine data manipulation or model building. You will evaluate third-party machine learning models that help verify customer identity, translate complex technical documentation into clear internal standards, and present your findings to stakeholders. This is an excellent opportunity for a quantitatively strong analyst who enjoys understanding how models work, challenges their performance and communicates technical concepts clearly.
Contract Duration: 6 months (extension possible)
Required Skills & Experience
- Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science or a related field
- 2+ years of experience in analytics, data science, model governance, model risk, fraud analytics or financial crime analytics
- Strong Python and SQL skills
- Practical understanding of machine learning methodology
- Experience with classification, regression, ensemble methods and anomaly detection
Desired Skills & Experience
- Experience with Databricks and PySpark
- Exposure to model validation, model risk management, compliance or audit
- Banking, financial services or other regulated-industry experience
- Familiarity with customer identity verification, fraud detection or access management models
What You Will Be Doing
Tech Breakdown
- 40% Python, SQL, Databricks, and PySpark
- 35% Machine learning
- 25% Model documentation, governance and third party vendor model review
Daily Responsibilities
- 35% Hands On Duties
- 25% Management Duties
- 40% Team collaboration
The Offer
You will receive the following benefits:
Statutory Vacation
Holiday Pay
Similar jobs
- TA
Data Scientist
NewThe Avian Consulting LLC
United States🇺🇸RemoteYesterdayFastAPISQLAWS+6Technology - MG
Principal Quant
NewMan Group
New York🇺🇸$200k - $250k/yrOn-site16 hours agoMachine LearningC++Java+2 - CL
Sr. Data Scientist
NewCharger Logistics Inc
United States🇺🇸Remote11 hours agoGCPSQLAWS+21Technology - GE
Senior Manager, Data Scientist
NewGenesis10
Charlotte, NC🇺🇸$93 - $103/hrHybridYesterdayMachine LearningTechnology - RI
Data Scientist
NewRaas Infotek LLC
United States🇺🇸HybridYesterdayDockerSQLAWS+21Technology - IN
Data Scientist
NewInfoPeople Corp
White Plains, NY🇺🇸HybridYesterdaySQLNumPySciPy+5Technology