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Added 9 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 9 days ago
KG
Senior Data AI Engineer (GenAI & LLM)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
AI-Driven Data Pipeline Engineering: Design, build, and maintain scalable batch and real-time data ingestion pipelines using Python, SQL, and modern big data frameworks to feed ML models…
Added 9 days ago
A
Senior Manager Data & AI Technical Strategy Lead
Avanade
Ottawa, ON
- Full-time
We are seeking a senior, credible, and pragmatic Data and AI leader to provide technical and delivery leadership for complex enterprise modernization programs.
Added 9 days ago
BC
AI Developer
BrainRidge Consulting
NB · New Brunswick, Canada
- Full-time
â - Strong hands-on experience with Python, JavaScript/TypeScript, APIs, SQL, and Git.
Added 9 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 9 days ago
Senior Data Analyst
Government of Alberta
AB
Ministry: Transportation and Economic Corridors
Added 9 days ago
AP
Senior Developer, Business Intelligence
Atlantic Packaging Products Ltd.
Toronto, ON
- Full-time
Reporting to the Senior Director, Technical Services, the Senior Developer, Business Intelligence plays a vital role in Atlantic's Technical Services Group, bringing expertise to the Power…
Added 9 days ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 9 days ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Full-time
Develop and maintain data workflows using Python and SQL.
Added 9 days ago
G
Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 9 days ago
XI
Senior Intelligence Analytics Engineer
Xplore Inc.
Markham, ON
- Full-time
Experience with Databricks, Databricks SQL, and lakehouse architecture.
Added 9 days ago
T
Business Insights Specialist (Financial Crimes)
TD
Toronto, ON
- Full-time
The successful candidate will leverage fraud expertise, strong analytical thinking, and advanced coding skills in Python and SQL to develop actionable insights, support detection rule…
Added 9 days ago
T
Global Markets Intern/ Co-op
TD
Toronto, ON
- Full-time
Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
Added 9 days ago
T
Global Markets Intern/Co-op
TD
Toronto, ON
- Full-time
Experience with Python, SQL, VBA and Bloomberg is a plus (requirement of these skills vary by desks)
Added 9 days ago
PR
Senior Robotics and Control Engineer
Promise Robotics
AB
- Full-time
(Preferred) Programming experience in Python, SQL or similar language
Added 9 days ago
AP
Senior Developer, Business Intelligence
Atlantic Packaging Products Ltd.
Toronto, ON
- Full-time
Reporting to the Senior Director, Technical Services, the Senior Developer, Business Intelligence plays a vital role in Atlantic's Technical Services Group, bringing expertise to the Power…
Added 9 days ago
AS
Full Stack Engineer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Experience with Python, SQL or NoSQL databases, data integration, caching, and data-intensive applications.
Added 9 days ago
B
Data Engineer, Fraud Predictive Analytics
BMO
Toronto, ON · FCP
- Full-time
Experience with programming languages (e.g. SQL, Python, PySpark) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
Added 9 days ago
DI
Full Stack Developer – Gen AI (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
Proven experience as a Full Stack Developer with expertise in Python (FastAPI) and Vue.js.
Added 9 days ago
SH
Cogito Business Intelligence Developer - Epic Local Team
Scarborough Health Network
Toronto, ON · Consilium Place
- Full-time
We are seeking a detail-oriented and analytical BI Developer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining business intelligence…
Added 9 days ago
LM
Actuarial Co-Op Student (May 2027 Start Date)
Liberty Mutual Canada
Toronto, ON
- $24 to $41 CAD / hour
- Contract
…Company. We offer a broad suite of commercial insurance products and solutions to mid-size and large Canadian companies with Canadian, North American and/or multinational risks. Liberty…
Added 9 days ago
EC
Quality Analyst
Experis Canada
Toronto, ON
- Contract
Strong proficiency in SQL and database validation techniques.
Added 9 days ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 9 days ago
TC
Data Engineer - Big Data / PySpark
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Develop complex SQL queries for data extraction, transformation, validation, and troubleshooting.
Added 9 days ago
DATA ANALYST
Boutique La Vie En Rose
Montreal, QC
Knowledge of the following programming languages: SQL and Python;

BMO

Data Engineer, Fraud Predictive Analytics

Toronto, ON, Canada
FCP, Canada

$80,000.00 - $175,000.00 · Full-time

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Job details

Pay: $80,000.00 - $175,000.00
Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Oct 23, 2026

Original job description

Application Deadline:

11/29/2026

Address:

100 King Street West

Job Family Group:

Data Analytics & Reporting

Hybrid role

Applies knowledge of advanced analytic algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to deliver better prediction models and/or intelligent automation that enables smarter business decisions, improved customer experience, and drives productivity. Applies strong communication and story-telling skills to summarize statistical/algorithmic findings, draw business conclusions, and present actionable insight in a way that resonates with business/groups. Drives innovation through the development of Data & AI products that can be leveraged across Financial Crimes Unit to build advanced fraud detection, fraud investigation, fraud prevention tools/models.

Conducts research to identify, assess and recommend viable, practical solutions to specific financial crimes /criminal risk exposures
Develops and maintains an understanding of the financial crime management processes, frameworks and techniques.

Recommends and implements solutions based on analysis of issues and implications for the business.
Understands and analyzes complex business problem, then formulates data-driven hypotheses to drive business value.
Builds effective relationships with internal/external stakeholders and ensures alignment.
Supports data collection, integration, and retention requirements for data.
Defines innovative data solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets.
Diagnoses and resolves predictive / analytical model performance issues while monitoring system performance and implementation of efficiency improvements.
Develops analytical solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
Works with various data owners to discover and select available data from internal sources and external vendors (e.g. financial crime data) to fulfill analytical needs.
Applies scripting / programming skills to assemble various types of source data (unstructured, semi-structured, and structured) into well-prepared datasets with multiple levels of granularities (e.g., demographics, customers, products, transactions).
Develops agreed analytical solution by applying suitable statistical & machine learning techniques (e.g., A/B testing, prototype solutions, mathematical models, algorithms, machine learning, deep learning, artificial intelligence) to test, verify, refine hypotheses.
Uses the appropriate algorithms to discover patterns.
Supports development of tools and delivers training for data analytics and AI.
Broader work or accountabilities may be assigned as needed.

Qualifications:

Typically between 5 - 7 years of relevant experience in Data Science & Analytics and post-secondary degree in related field of study or an equivalent combination of education and experience.
Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience
Experience with programming languages (e.g. SQL, Python, PySpark) and machine learning /deep learning algorithms/packages (e.g. XGBoost, H2O, SparkML).
Deep proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
Experience building fraud models (investigation, detection, prevention) for a large Financial Institution

Salary:

$80,000.00 - $175,000.00

Pay Type:

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one – for yourself and our customers. We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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More about this job

Responsibilities

Develop and implement advanced predictive models and AI-driven tools to detect and prevent financial crimes. Collaborate with stakeholders to translate complex business problems into data-driven hypotheses and actionable analytical solutions.

Requirements

Requires 5-7 years of experience in Data Science and Analytics with a post-secondary degree in a quantitative discipline. Proficiency in programming languages like Python and SQL, along with expertise in machine learning algorithms and fraud modeling, is essential.

Skills

Machine learning
Deep learning
Artificial intelligence
SQL
Python
PySpark
XGBoost
H2O
SparkML
Statistical analysis
Quantitative analytics
Predictive analytics
Multivariate testing
Optimization algorithms
Fraud detection
Data modeling

Benefits

Health insurance
Tuition reimbursement
Accident insurance
Life insurance
Retirement savings plans
Performance-based incentives
Discretionary bonuses

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Fraud Predictive Analytics
Machine Learning
Deep Learning
Artificial Intelligence
SQL
Python
PySpark
XGBoost
H2O
SparkML
Statistical Analysis
Quantitative Analytics
Forecasting
Multivariate Testing
Optimization Algorithms
Financial Crimes
Fraud Detection
Data Modeling
Data Collection
Data Integration
Pattern Detection
A/B Testing
Predictive Modeling
Financial Institution
Data Analytics
Reporting
Risk Management
Stakeholder Management
Business Intelligence

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