Financial Crime Risk Investigator Ii Iert (fci) 4768
TD Bank
Ottawa, Ontario, Canada
Base: $69,700 - $98,400 cad; bonus/equity: not spe...
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Investigate internal and external cases
Analyze financial crime threats
Conduct data analysis and interpretation
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TD Bank is seeking a Financial Crime Risk Investigator II in Ottawa, Ontario, to conduct investigations related to financial crime, including AML and sanctions. The position requires analytical skills and knowledge of financial regulations, with a focus on teamwork and mentoring within the financial crime risk management sector.
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Job Summary
Conduct investigations of moderate complexity for both internal and external cases, recommending for demarket and/or freezing accounts.
Analyze data, manipulate, and interpret patterns and anomalies to identify potential exposure points for the Bank and their impact on enterprise controls.
Participate fully as a member of the team, supporting a positive work environment that promotes service to the business, quality, innovation, and teamwork.
Matching Summary
Match Score: 75
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TD Bank is seeking a Financial Crime Risk Investigator II in Ottawa, Ontario, to conduct investigations related to financial crime, including AML and sanctions. The position requires analytical skills and knowledge of financial regulations, with a focus on teamwork and mentoring within the financial crime risk management sector.
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Salary
Base: $69,700 - $98,400 CAD; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
Investigate internal and external cases
Analyze financial crime threats
Conduct data analysis and interpretation
Adhere to internal policies and regulatory guidelines
Nice-to-have
Provide QA/review and mentorship
Leverage insights into FC trends
Contribute to a fair and positive environment
Key Requirements
Undergraduate degree or 3+ years equivalent work experience in AML
Experienced working professional role providing analytical services
Strong communication skills (verbal and written)
Comfortable with technology and manipulating large data sets