Data Scientist, Fraud Analytics Intern, Fall 2023 (Internship) - 4 Months, Part-Time (Evergreen) (Open)

Our Team & Employee Value Proposition:

The Financial Crimes Unit (FCU) brings together our Cybersecurity, Fraud, Physical Security and Resilience Planning capabilities to address the ever-growing and increasingly complex global security environment. It is a highly collaborative effort that greatly enhances BMO’s ability to rapidly prevent, detect, respond to, and recover from all security & crisis threats. This position offers a unique experience to learn from experienced leaders in the industry, join a team building the 21st century model for security and helping grow the good by protecting our customers and communities.

Enterprise Fraud Management is on an exciting journey to build a best-in-class fraud team recognized by peers, customers and the industry. Our teams are built to proactively detect, prevent, and mitigate Fraud through an innovative Fraud Risk Management program and 24/7 North American Fraud Operations function. We always strive to deliver an exceptional customer experience, while ensuring the bank and our customers are protected from Fraud activity.

Projects involve understanding relevant products, business processes and IT systems; gathering data from different databases and create analytical datasets to answer business questions through data mining, statistical modeling, and machine learning.

Consults on analytical solutions to understand, analyze, and synthesize requirements, goals and objectives relative to data and business intelligence needs and to enable high-quality, fact-based business decisions to drive better business outcomes. Provides advice on the configuration, functionality, applicability, and usability of data management, data analytics, and data visualization technology solutions. Supports the development of the strategy and roadmap for data quality and data analytics, data modeling, reporting, business intelligence, and the design and development of sophisticated decision support tools.

• Builds effective relationships with internal/external stakeholders.
• Breaks down strategic problems, and analyses data and information to provide subject matter insights and recommendations.
• Designs, develops, and implements innovative analytical solutions.
• Designs and produces regular and ad-hoc reports, and dashboards.
• Builds reports and visualizations to effectively communicate data driven insights to users for a variety of audiences e.g. visualization solutions of data into reports, graphics, dashboards to illustrate facts, trends, and insights.
• Develops solutions and makes recommendations based on an understanding of the business strategy and stakeholder needs.
• Supports development and execution of strategic analytics & reporting initiatives in collaboration with internal and external stakeholders.
• Analyzes data and information to provide subject-matter insights and recommendations.
• Develops tools and delivers training programs for use of reporting tools and self-serve analytics by non-analytical end users; may include delivery of training to audiences.
• Documents and maintain operational procedures and processes relating to analytical and reporting processes.
• Builds effective relationships with internal/external stakeholders.
• Collaborates with internal and external stakeholders in order to deliver on business objectives.
• Focus may be on a business/group.
• Thinks creatively and proposes new solutions.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Broader work or accountabilities may be assigned as needed.

  
  Qualifications:

• Typically between 3 – 5 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

• Programming experience with SQL, Python and/or SAS

• Knowledge of relational database management systems (SQL Server, Sybase, DB2 etc.)

• Experience in statistical analysis and data mining of large datasets

• Knowledge of machine learning tools and techniques (e.g. Xgboost, Random Forests, Neural Networks/Deep Learning, Anomaly Detection algorithms)

• Strong verbal and written communication skills and the ability to present findings to a non-technical audience

• Investigative mindset and interest in a career in financial crimes prevention

• Knowledge and experience in data preparation, data analysis, and statistical tool sets including but not limited to Spotfire, Tableau, SQL, SAS, R, Python, MATLAB, SPSS - Good.
• Specialized knowledge from education and/or business experience.
• Verbal & written communication skills - In-depth.
• Collaboration & team skills - In-depth.
• Analytical and problem solving skills - In-depth.
• Influence skills - In-depth.

Compensation and Benefits:

$34,100.00 - $48,650.00

The base salary represents BMO Financial Group’s hiring range for this position. Actual salaries will vary and will be based on various factors, such as location, skills, experience, and qualification for the role. Salaries for part-time roles will be pro-rated based on number of hours regularly worked.

Base salary is one component of BMO Financial Group’s total compensation package for employees, which may include performance-based incentives, commissions or 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: www.bmousbenefits.com.

We’re here to help

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/us/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. BMO is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. 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.