Senior Data Analyst, FCRM

Location(s):  Greater Vancouver Area;
Greater Toronto Area
Job Type: Full Time Regular
myWork Program:  Hybrid
Starting Salary Range: $82,900.00-$
Background Screening Requirement:
Enhanced Criminal Record Check
Credit Check
Identity Verification
Employment Verification
References
Job Purpose
Join our team as a Senior Data Analyst for FCRM and become the go-to expert in shaping the way we tackle financial crime through data. You'll have the hands-on role of constructing and overseeing sophisticated analytics, involving everything from developing fraud prevention methods to managing anti-money laundering and terrorist financing detection strategies to mentoring junior members of the team. Your skills will directly support the growth of our financial crime analytics capabilities, ensuring we stay ahead in safeguarding our members’assets and maintaining the integrity of our financial systems.
Accountabilities
Analyze customer transaction patterns to detect suspicious activities and segment customer data to pinpoint high-risk profiles. Employ predictive analytics to identify potential financial crime risks and compare customer behavior with benchmark data to uncover anomalies. Enhance financial crime prevention by developing and refining customer risk scoring methodologies, optimizing our monitoring capabilities.
Prepare and deliver reports on identified risks, including routine risk assessment updates for key stakeholders. Work collaboratively with internal teams to document and translate quantitative risk findings into actionable financial crime risk mitigation strategies.

Evaluate and report on the efficacy of existing risk management protocols to senior management.
Design and implement monitoring systems to ensure regulatory compliance within the FCRM domain. Regularly review these systems for adherence to set standards and policies.

Perform root cause analyses on compliance breaches to enhance the efficacy of monitoring mechanisms.
Analyze transaction data to spot emerging trends in financial crime activities and use advanced analytics to detect nuanced changes in member behavior that may signal fraud. Work with technology teams to incorporate trend analysis into anti-money laundering platforms. Communicate your findings to relevant departments to inform financial crime strategy and develop visualizations that clearly present these trends and insights to stakeholders.
Establish and uphold data quality standards geared specifically for financial crime risk management. Monitor financial crime data accuracy, develop validation protocols, and track performance using data quality metrics. Work alongside IT and data governance teams to maintain data consistency and proactively identify and address any inconsistencies or gaps in financial crime datasets.

Skills & Qualifications
Bachelor's degree in Data Science, Finance, Computer Science, or related field
3+ years with financial data analysis
2+ years experience working in Model Validation and/or Model Development
Proficiency in predictive analytics techniques and tools
Experience developing and refining risk scoring methodologies
Ability to implement and manage AML and fraud monitoring systems
Expertise in data visualization and reporting tools
Familiarity with financial crime compliance standards and regulations
Advanced skills in transaction data analysis and trend spotting
Knowledge of data quality standards and performance metrics
Proficiency with database management and data validation protocols

Experience with statistical software and programming languages (e.g., R, Python, SQL)
Expertise in developing financial crime risk mitigation strategies
Equity, Diversity & Inclusion at Coast Capital
Don’t meet every single requirement? At Coast Capital, we believe everyone has potential. We are committed to building better, brighter, more inclusive futures for everyone – including our employees. We see the potential in our employees to achieve amazing things and want to invest in your future. If you’re excited about this career opportunity and your experience may not perfectly align with every qualification in this job posting, we still encourage you to apply.

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