Fraud Analytics @ BMO
Your Application Journey
Email Hiring Manager
Job Details
About the Fraud Analytics Role
The Fraud Analytics role at BMO uses advanced analytical algorithms and technologies including machine learning, deep learning, and artificial intelligence to mine and analyze large sets of structured and unstructured data to obtain insights. The role involves designing and constructing new processes for modeling data and developing predictive models using big data technology to enhance business decisions, customer experience, and productivity.
Responsibilities
- Develop and deploy predictive models and machine learning algorithms.
- Mine and extract valuable data from complex sources.
- Conduct large-scale data analysis to uncover patterns and trends.
- Provide data-driven recommendations to business leaders.
- Collaborate with data, analytics, product teams, and stakeholders.
- Investigate and implement innovative data solutions and technologies.
- Offer specialized consulting, analytical and technical support.
Qualifications
Must Have: Proficiency in SQL, Python, SAS; strong skills in data extraction, transformation and analysis; proven analytical capabilities to identify trends and actionable insights; self-starter with the ability to work independently.
Nice to Have: Financial domain knowledge, fraud detection experience, hands-on experience with machine learning and predictive modeling, Java proficiency, and exposure to decision management platforms.
Salary & Benefits
This salaried position offers a competitive pay range along with performance-based incentives, bonuses, and a comprehensive benefits package including health insurance, tuition reimbursement, and retirement savings plans. For more details, please visit the BMO Total Rewards page.
About BMO
BMO is driven by a shared purpose to boldly grow the good in business and life. The company fosters an inclusive, equitable and accessible workplace valuing every employee, and supports continuous growth from day one.
Key skills/competency
- Machine Learning
- Data Mining
- Predictive Modeling
- SQL
- Python
- SAS
- Deep Learning
- Data Analysis
- Big Data
- Fraud Detection
How to Get Hired at BMO
🎯 Tips for Getting Hired
- Customize Your Resume: Tailor your skills and projects matching the job requirements.
- Highlight Technical Skills: Emphasize SQL, Python, SAS and ML experience.
- Research BMO: Understand their culture, mission, and recent news.
- Prepare for Interviews: Practice technical questions and case studies.
- Follow Application Tips: Submit a clear, concise, and targeted application.