Senior Manager, Fraud Detection & Optimization

RBC•Toronto, ON

2d•Onsite

About The Position

This role involves leading a team of Data Scientists and Fraud Analysts to develop and implement advanced fraud detection and client treatment strategies. The position focuses on optimizing fraud loss, operating costs, client experience, and risk frameworks by leveraging technologies and data streams for enhanced real-time decisioning. The Senior Manager will ensure effective fraud prevention and detection rules across decision engines and manage resourcing for product squads.

Requirements

5+ years of experience in data science, machine learning, data mining or statistics
Degree in Mathematics, Statistics, Computer Science or other related field
Ability to perform complex data analysis on large volumes of data and present findings to stakeholders
Strong practical knowledge of, and proven experience with, analytical software packages and various programming languages (eg: SAS, R, SQL, Python etc.)
Demonstrated experience working with big data technologies (Hadoop, Hive, Apache Spark etc)
Exceptional communication and presentation skills, including the ability to effectively communicate analytical recommendations to both technical and non-technical audiences
Demonstrated leadership capabilities and proven ability to lead data analytics teams
Strong critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions

Nice To Haves

Graduate degree in Mathematics, Statistics, Computer Science or other related areas
Knowledge of Canadian banking and payment industry payments transaction data and financial fraud

Responsibilities

Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program through a best-in-class suite of fraud rules and predictive models.
Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team.
Explore new analytic solutions, technologies and methodologies to enhance the bank’s position as a global leader in the fraud industry.
Collaborate effectively with partners in Fraud IT on the continuous improvement of the fraud decisioning ecosystem.
Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads, focused on highlighting emerging fraud risks and developing cross-discipline approaches to mitigate fraud.
Ensure all functions (applications and procedures) within the team are carried out in a risk conscious manner, and key audit controls and information security controls are consistently satisfied.
As an expert in data and fraud detection, support Fraud Management's strategic priorities and various analytic exercises and data extractions.