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About the Role
As a Financial Crime Analytics Senior Associate at PwC, you will focus on providing comprehensive security solutions and experience across various domains, maintaining the protection of client systems and data. You will apply a broad understanding of cybersecurity principles and practices to address diverse security challenges effectively.
Responsibilities
- Providing support on client assignments
- Constructing the analytical framework and work steps for each assignment
- Consulting with clients to identify, clarify, and resolve complex issues critical to their strategic and operating success by developing insight, conducting independent analysis, and meeting with clients to assure assignment progress
- Developing conclusions and recommendations, writing reports, assisting in client presentations and providing implementation assistance as required
- Proactively assist in the management of several clients, while reporting to Managers and above
- Establish effective working relationships directly with clients
- Contribute to the development of your own and team’s technical acumen
- Keep up to date with local and national business and economic issues
- Be actively involved in business development activities to help identify and research opportunities on new/existing clients
- Continue to develop internal relationships and your PwC brand
Requirements
- Highly skilled and good working knowledge of SQL, Python, and other data mining/statistical software
- Knowledge of the Financial Services industry and financial products
- Understanding of risk management or compliance within Financial Services (preferably AML, Name Screening or Financial Crimes)
- Experience presenting technical information to non-technical stakeholders
- Ability to recognize data patterns, quantify potential issues and identify solutions
- Ability to standardize, harmonize, clean, prepare and use data for developing datasets, reporting and analysis
- Knowledge of cluster analysis and sampling methods
- Experience building logistic regression models and performing sensitivity testing
- Familiar with model performance and population stability monitoring
- Familiarity with AML transaction monitoring, case management, and watchlist monitoring tools
- Consulting experience and CAMS certification is an asset
- Experience in creating documentation and executive presentation
- Experience in advanced analytics by providing business intelligence solution; data models and BI reports
Skills
- SQL
- Python
- Data mining
- Statistical software
- Financial Services industry knowledge
- Financial products knowledge
- Risk management
- Compliance
- AML
- Name Screening
- Financial Crimes
- Technical presentation
- Data pattern recognition
- Data analysis
- Data standardization
- Data harmonization
- Data cleaning
- Data preparation
- Dataset development
- Reporting
- Cluster analysis
- Sampling methods
- Logistic regression models
- Sensitivity testing
- Model performance monitoring
- Population stability monitoring
- AML transaction monitoring
- Case management
- Watchlist monitoring tools
- Consulting
- CAMS certification
- Documentation creation
- Executive presentation
- Advanced analytics
- Business intelligence solutions
- Data models
- BI reports
Location
- major city centres
Work Type
- full-time
Experience Level
- At least 2 years of experience in a Financial Crime analytics role
Education Level
- Bachelor’s Degree (or higher) in Mathematics, Statistics, Computer Science or similar quantitative field
Salary/Compensations
- $84,700 - $134,700
Benefits
- variable incentive pay programs
- competitive compensation package
- inclusive benefits
- flexibility programs
About the Company
- At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies.
- We’re inspiring and empowering our people to change the world.
- Powered by the latest technology, you’ll be a part of diverse teams helping public and private clients build trust and deliver sustained outcomes.
- This meaningful work, and our continuous development environment, will take your career to the next level.
- We reward your impact, and support your wellbeing, through a competitive compensation package, inclusive benefits and flexibility programs that will help you thrive in work and life.
- Learn more about our Application Process and Total Rewards Package at: https://jobs-ca.pwc.com/ca/en/life-at-pwc
Equal Opportunity
- PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
- We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.
- The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).