7/13/26

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Job Type: Permanent Work Model: Hybrid Reference code: 133157 Primary Location: Toronto, ON All Available Locations: Toronto, ON

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What will your typical day look like?

In this role you will help financial services industry (FSI) clients solve complex problems with informed confidence. Using your deep technical skills, subject matter expertise and leveraging our global network of experts, you'll provide professional advice to our FSI clients in a wide range of situations. The result? Our clients will be better placed to take control and receive the best solutions to their complex challenges.

As part of the AML Analytics team, you will play a pivotal role in the clients' Anti-Money Laundering (AML) efforts by utilizing advanced analytics and technology to identify and mitigate potential risks. You will work closely with the clients to develop, implement, and enhance AML strategies, ensuring compliance with regulatory requirements.

You will also be able to learn and work in other quantitative and analytical areas including customer behavior modeling, scenario modelling, capital optimization problems, and new innovations such as cloud computing, machine learning and artificial intelligence.

About the team

Deloitte's Risk, Regulatory & Forensics practice delivers highly specialized advisory solutions for companies facing critical business events where significant value is at stake, in every phase of the economic cycle.

Our work is often high profile, high impact, and highly rewarding. If you're looking for a challenge and an opportunity to grow your career alongside the best and brightest in the industry, you'll find it in Risk, Regulatory & Forensics at Deloitte. Broaden your skills. Broaden your reach. Broaden your career. It's all possible at Deloitte.

Enough about us, let's talk about you

Ideally, you are someone with:

• Minimum 10+ years of relevant experience in AML/ATF domain.
• Strong academic background with graduate degree (Master's or PhD) in quantitative disciplines such as Finance, Economics, Statistics, Mathematics, Computer Science, or other relevant post graduate degree is required.
• Hands-on experience in utilizing data analytics and AI-ML (artificial intelligence-machine learning) methodologies to detect and investigate suspicious financial activities.
• Hands-on experience in developing and maintaining AML models to identify unusual patterns in transaction data.
• Hands-on experience in performing end to end validation of AML models (vendor based or in-house) - including testing, outcome analysis and documenting reports, by following industry best practice and regulatory guidelines.
• Experience with interpreting model code, business rule logic and data transformation, independent replication testing and outcome assessment.
• Experience with design and execution of independent validation test plans and structured workpaper documentations.
• Knowledge of banking products and services across retail, commercial, and capital markets.
• Experience in transaction monitoring, sanctions screening (name screening and payments screening) commercial sanctions platforms such as Lexis Nexis, World-check, Actimize, Verafin, Oracle FCCM, SAS AML, Symphony Al etc.
• Experience in Internal Audit (MRA/MRIA), consent order remediation, regulatory exams, risk assessment, coverage assessment is an asset.
• In depth understanding of AML/ATF/Sanctions/ABAC/KYC processes and practices is required.
• Strong programming skills in Python, SAS, SQL, VBA, etc. with hands-on experience working with large and complex data are critical to success.
• Automation experience with any of the aforementioned programming languages is an asset.
• SME (subject matter expert) knowledge/experience of USA, Canadian supervisory/regulatory requirements and guidelines (e.g. SR 11-7, OSFI E-23, FINTRAC guidelines, PCMLTFA, BSA/AML regulations, OFAC and FinCEN regulations, along with UK FCA and EU AMLD etc.
• Prior experience at professional services firm serving financial services or within model risk and financial crime compliance at a large institution.
• Knowledge of publications such as ACAMS, FATF, Wolfberg, Egmont etc. is an asset.
• Financial crime related certifications (e.g. CAMS, CFCS, CFE, etc.) are an asset.
• Experience in documenting policies and procedures is an asset.
• Exceptional verbal and written communication skills.
• Self-starter, fast-learner, and highly motivated individual who can excel under fast-paced environment and meet stringent deadlines.

Total Rewards

The salary range for this position is $101,000 - $169,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.