Head of Product Security
New
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Lead machine learning model development and deployment to identify cyber threats and fraudulent activity, collaborating with cross-functional teams to translate insights into actionable strategies. This staff-level role requires an advanced degree in a quantitative field, proven expertise developing and deploying complex machine learning models including deep learning, and highly proficient Python and PySpark skills. Work based in Toronto, Canada, 37.5 hours weekly, full-time salaried position.
Written from this posting by Neural Jobs AI. The full description is below.
Job Description
What is the opportunity?
We have an exciting opportunity in Global Cyber Security!
As a Staff Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber threats. You will collaborate closely with cross-functional teams to translate complex technical insights into actionable strategies, driving significant business impact and safeguarding RBC clients and data.
Data Science allows us to identify trends, anticipate malicious behaviors, perform pattern matching, discover new threats, and predict the outcomes of future events. Working as part of the Joint Security Operations Center (JSOC), you’ll specialize in taking full advantage of large data sets to explore and discover new insights that would have not been possible with traditional analytics. Leveraging leading edge technologies and capabilities, you will apply machine learning and statistical modelling techniques to help RBC to proactively defend its digital information.
What will you do?
What do you need to succeed?
Must-have
Nice-to-have
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.
#LI-post
#TECHPJ
Job Skills
Actuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job Details
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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.
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RBC is a diversified Canadian financial services company operating as Royal Bank of Canada.
RBC provides personal and commercial banking, wealth management, insurance, capital markets, and investor and treasury services in Canada and internationally.
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