Senior Manager, Fraud Detection & Optimization

Socket.dev; Toronto; On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Total Rewards Program

Leadership development support

Make a lasting impact

Job summary

RBC is seeking a senior leader to head a team of Data Scientists and Fraud Analysts, applying advanced methodologies to develop effective fraud detection and client treatment strategies across products and channels. You will coordinate with Fraud Data Science & Analytics, Fraud Strategy, Operations and IT to balance performance across loss, costs, experience, and risk.

You will drive real-time decisioning capabilities and ensure robust fraud rules across engines, guiding resourcing across

Qualifications

• 5+ years of experience in data science, machine learning, data mining or statistics.
• Strong knowledge of SAS, R, SQL, Python.
• Experience with big data technologies (Hadoop, Hive, Apache Spark).
• Excellent communication and presentation skills.

Responsibilities

• Lead Data Scientists and Fraud Analysts in developing fraud prevention and detection programs.
• Develop standards to improve team efficiency and effectiveness.
• Collaborate with Fraud IT to improve fraud decisioning ecosystem.
• Mitigate fraud risks with cross-discipline approaches.
• Ensure risk and information security controls are satisfied.

Job description

Job Description

What\'s the opportunity?

You will help lead a team of Data Scientists and Fraud Analysts in applying advanced methodologies to develop effective and balanced fraud detection and client treatment strategies across products and channels. You will work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams, to optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework. You will improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities. You will ensure effective fraud prevention and detection rules across several decision engines, and appropriate resourcing across product squads.

What will you do?

• 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

What you need to succeed

Must have:

• 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 have:

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

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program
• Leaders who support your development and opportunities
• Ability to make a difference and lasting impact.

Job Skills

Artificial Intelligence (AI), Big Data Management, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language), Statistical Analysis

Additional Job Details

Address:

YORK MILLS CENTRE, 36 YORK MILLS RD:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-14

Application Deadline:

2026-08-28

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.