Data Engineer, Fraud Predictive Analytics

BMO; Toronto; Hybrid; CAD 80.000 - 175.000; Vollzeit

Benefits dieser Stelle

Health insurance

Tuition reimbursement

Accident & life insurance

Retirement savings plan

Zusammenfassung

BMO is seeking a data science professional in Canada to apply advanced analytic algorithms such as ML, DL, and AI to build predictive models and intelligent automation. The role emphasizes communicating findings and presenting insights to business groups to influence decisions.

You will drive innovation by developing Data & AI products for the Financial Crimes Unit, identifying practical fraud solutions, and collaborating with data owners to source diverse data while improving model performance

Qualifikationen

• Typically 5–7 years of relevant experience in Data Science & Analytics.
• Advanced degree in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines.
• Experience with programming languages (SQL, Python, PySpark) and ML/DL algorithms/packages (XGBoost, H2O, SparkML).
• Deep proficiency in statistical analysis, forecasting/predictive analytics, multivariate testing, and optimization.

Aufgaben

• Applies knowledge of advanced analytic algorithms to deliver better prediction models and intelligent automation.
• Summarizes statistical findings and presents actionable insights to business groups.
• Drives data and AI product development for fraud detection within Financial Crimes Unit.
• Develops and maintains understanding of financial crime management processes and techniques.
• Analyzes complex business problems and formulates data-driven hypotheses to drive value.
• Collaborates with data owners to source internal and external data for analytics.

Kenntnisse

Communication skills

Storytelling

Statistical analysis

Machine learning

Python

SQL

PySpark

Ausbildung

Advanced degree in quantitative field

Tools

SQL

Python

PySpark

XGBoost

SparkML

H2O

Jobbeschreibung

Address: 100 King Street West

Job Family Group: Data Analytics & Reporting

Hybrid role

Responsibilities

• 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

Salary: $80,000.00 - $175,000.00

Pay Type: Salaried

Benefits

• 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.

BMO is a leading bank driven by a single purpose: to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good. Who we are We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services. As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers. In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.