Financial Crime Analytics Senior Associate

PwC

Toronto

On-site

CAD 85,000 - 135,000

Full time

14 days+
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Job summary

PwC Canada is looking for a Senior Associate in Cybersecurity & Privacy with a focus on Financial Crime analytics. You will provide analytical frameworks, collaborate with clients, and develop actionable recommendations based on data analysis.

The role emphasizes client interaction, reports, and hands-on analytics across multiple engagements. The position offers a competitive salary, a comprehensive total rewards package, and opportunities for professional growth within PwC Canada.

Qualifications

  • Bachelor's degree in Mathematics/Statistics/CS or similar quantitative field.
  • At least 2 years of experience in Financial Crime analytics.
  • Knowledge of the Financial Services industry and financial products.
  • Understanding of risk management or compliance within Financial Services ( AML, Name Screening, or Financial Crimes ).
  • Experience presenting technical information to non-technical stakeholders.
  • Ability to recognize data patterns, quantify issues and identify solutions.
  • Ability to standardize, harmonize, clean, prepare and use data for datasets, reporting and analysis.

Responsibilities

  • Provide support on client assignments.
  • Construct the analytical framework and work steps for each assignment.
  • Consult with clients to identify, clarify and resolve complex issues by developing insight and conducting independent analysis.
  • Develop conclusions, write reports, assist in client presentations and provide implementation assistance.
  • Proactively assist in managing several clients while reporting to Managers and above.
  • Establish effective working relationships directly with clients.
  • Contribute to the development of technical acumen within the team.
  • Stay up to date with local and national business and economic issues.
  • Participate in business development to identify opportunities with clients.

Skills

SQL
Python
Data mining
Statistics

Education

Bachelor's degree in Mathematics/Statistics/CS

Tools

Azure Data Factory

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Cybersecurity & Privacy

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure systems, and provide proactive solutions to safeguard sensitive data.

As a cybersecurity generalist 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.

The Opportunity

AsaFinancial Crime Analytics Senior Associate),unlock your potential and embrace the chance to drive meaningful outcomesthat’llelevate your career. Your role will include, butisn’tlimited to:

  • Providing support on client assignments
  • Constructing the analytical framework and work steps for each assignment
  • Consulting with clients toidentify, 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,writingreports,assistingin clientpresentationsand providing implementationassistanceasrequired
  • Proactivelyassist 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 helpidentifyand research opportunities on new/existing clients
  • Continue to develop internal relationships and your PwC brand
WhatYou’ll Bring

Your skills, knowledge, and experiences are what set you apart.Here’swhat we look for:

  • Highly skilledand good working knowledge of SQL, Python, and other data mining/statisticalsoftware
  • Bachelor’sDegree (or higher) in Mathematics, Statistics, ComputerScienceor similar quantitative field
  • At least 2 years of experience in a Financial Crime analytics role
  • Knowledge of the Financial Services industry and financial products
  • Understanding of risk management or compliance within Financial Services (preferably AML, Name Screeningor Financial Crimes)
  • Experience presenting technical information to non-technical stakeholders
  • Ability to recognize data patterns, quantify potentialissuesandidentifysolutions.
  • Ability to standardize, harmonize, clean, prepare and use data for developing datasets,reportingand 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 watchlistmonitoringtools.
  • Consulting experience and CAMS certificationisan asset.
  • Experience in creating documentation and executive presentation
  • Experience in advanced analytics by providing business intelligence solution; data models and BI reports

This position ensures continuity and upholds our standards of excellence following the departure of a valued team member.

The salary range for this position is $84,700 - $134,700. The posted salary range represents the expected hiring range for PwC locations in major city centres. Given our national recruiting approach, ranges may vary for positions in other locations. At PwC Canada, base salary is determined by your skills, experience, qualifications and work location. In addition to base salary, eligible employees may have opportunities to participate in variable incentive pay programs which are designed to reward individual and firm-wide achievements. We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation. During the hiring process, our Talent Acquisition team will provide details about our comprehensive total rewards package.

Whyyou’lllove PwC

We’reinspiring and empowering our people to change the world. Powered by the latest technology,you’llbe 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.

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,Métisand Inuit Peoples. We recognize the systemic racism,colonialismand oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.

Education

(if blank, degree and/or field of study not specified)

Certifications

(if blank, certifications not specified)

Optional Skills
  • Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Azure Data Factory, Communication, Creativity, Cybersecurity, Cybersecurity Framework, Cybersecurity Policy, Cybersecurity Requirements, Cybersecurity Strategy, Embracing Change, Emotional Regulation, Empathy, Encryption Technologies, Inclusion, Intellectual Curiosity, Learning Agility, Managed Services, Optimism, Privacy Compliance, Regulatory Response, Security Architecture {+ 8 more}
Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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.

Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.

L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels https://www.pwc.com/ca/fr/privacy-policy.html.

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