Rbc

Banking

SeniorManager,FraudDetection&Optimization

Toronto, Ontario, Canada FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Manager, Fraud Detection & Optimization at Rbc. Skills: Data Science, Machine Learning, Fraud Detection, Leadership, Predictive Models, Data Analysis. Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program. Develop and implement standards, routines and monitoring to improve overall efficiency and effectiveness of the team”

What You'll Achieve.

Develop effective and balanced fraud detection and client treatment strategies; Optimize and balance performance across the fraud pillars - fraud loss, operating cost, client experience and risk framework; Improve our ability to leverage technologies and data streams to enhance real-time decisioning capabilities; Ensure effective fraud prevention and detection rules across several decision engines; Appropriate resourcing across product squads

Industry & Context.

Banking
Problems you'll solve

Critical thinking and analytical skills with the ability to solve complex problems and develop data-driven solutions

What They're Looking For.

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, 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), Demonstrated leadership capabilities and proven ability to lead data analytics teams, 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 You'll Do.

Lead Data Scientists and Fraud Analysts in developing an effective and balanced fraud prevention and detection program

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

Support Fraud Management's strategic priorities and various analytic exercises and data extractions

How You'll Work.

Team & Collaboration

Collaborate effectively with partners in Fraud IT; Maintain a strong/collaborative relationship with Fraud Strategy and Operations in product squads; Work with Fraud Data Science & Analytics (DSA), Fraud Strategy, Operations and IT teams

Communication Scope

Exceptional communication and presentation skills; Ability to effectively communicate analytical recommendations to both technical and non-technical audiences

Full 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 also 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 mi

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