Senior Fraud Analytics Manager, Cards Systems & Insights

BMO U.S.; Toronto; On-site; CAD 114,000 - 249,000; Full time

Benefits offered by this job

Health insurance

Tuition reimbursement

Accident and life insurance

Retirement savings

Job summary

BMO U.S. is seeking a Senior Analyst/Manager in Cards Analytics to translate complex card data into actionable insights. You will work with Fraud Strategy, Risk, and Operations to optimize fraud and portfolio performance.

Responsibilities include building dashboards, conducting advanced analyses, and presenting findings to senior leaders. A strong TSYS background and SQL skills are essential, with emphasis on risk and decisioning analytics.

Qualifications

• Advanced TSYS expertise with hands-on TSYS card processing platforms and decisioning frameworks.
• Strong SQL programming and query optimization skills.
• Extensive experience analyzing large transactional datasets.
• Cards industry knowledge including credit/debit processing.
• Data wrangling, data preparation, and BI reporting.

Responsibilities

• Perform advanced analysis of card transaction data to identify fraud trends and portfolio opportunities.
• Develop and optimize dashboards and reporting for Cards initiatives.
• Analyze large datasets to identify risks and business opportunities.
• Evaluate fraud rules and strategy impacts with data-driven recommendations.
• Prepare executive-level analyses and presentations for senior leadership.

Skills

TSYS expertise

SQL

Data analysis

Data visualization

Communication

Stakeholder mgmt

Fraud analytics

Presentation skills

Team leadership

Education

Bachelor's degree

Tools

TSYS Determinator

Power BI

Tableau

Job description

BMO U.S. is seeking a Senior Analyst/Manager in Cards Analytics to translate complex card data into actionable insights. You will work with Fraud Strategy, Risk, and Operations to optimize fraud and portfolio performance.

Responsibilities include building dashboards, conducting advanced analyses, and presenting findings to senior leaders. A strong TSYS background and SQL skills are essential, with emphasis on risk and decisioning analytics.