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Analyst/Consultant/Senior Consultant, AML Analytics, Financial Engineering & Modeling

Deloitte•Toronto, Ontario
Full-timeSenior
👁️ 0 views•📝 0 applications•Posted 9/22/2026•Expires 10/22/2026
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Job Description

Job Type: Permanent Work Model: Hybrid Reference code: 133963 Primary Location: Toronto, ON All Available Locations: Toronto, ON Our Purpose At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. By living our Purpose, we will make an impact that matters. • Have many careers in one Firm. • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness. • Learn from deep subject matter experts through mentoring and on the job coaching -- What will your typical day look like? In this role, you will help financial services clients address complex financial crime and regulatory challenges through advanced quantitative analytics, statistical modeling, and model risk management. Leveraging your technical expertise and our global network of specialists, you will support clients in the design, development, validation, optimization, and governance of AML risk models. As part of the AML Analytics team, you will work with leading financial institutions to build and independently validate models used across the AML lifecycle, including customer risk rating (CRR), transaction monitoring (TM), sanctions screening, and other financial crime detection frameworks. You will evaluate model design, methodology, data quality, assumptions, performance, and governance in accordance with regulatory expectations and industry best practices. You will collaborate closely with data scientists, model developers, risk managers, and business stakeholders to deliver rigorous analytics that enhance risk management capabilities and regulatory compliance. This role provides opportunities to work on advanced statistical techniques, machine learning applications, model monitoring and calibration, and scenario design. 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 You are someone with: • Master's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Actuarial Science, Quantitative Finance, or a related quantitative discipline. • For Analyst, 0-2 years of relevant experience; for Consultant, 2-4 years; for Senior Consultant, 4+ years of experience in model development, model validation, quantitative analytics, or financial crime modeling. • Experience in AML, financial crime, model risk management, analytics, or related quantitative disciplines. • Experience developing, validating, tuning, or monitoring analytical models, preferably within AML or other regulatory risk management domains. • Strong understanding of statistical modeling techniques, including regression analysis, segmentation methods, clustering, classification models, threshold optimization, and performance assessment methodologies. • Experience with AML model development and validation, including customer risk rating, transaction monitoring, sanctions screening, or financial crime detection models. • Hands-on experience evaluating model assumptions, methodology, data lineage, feature selection, calibration, performance metrics, and model limitations. • Knowledge of model risk management frameworks and regulatory guidance, including SR 11-7, OSFI E-23, ECB TRIM, or equivalent model governance expectations. • Strong programming skills in Python, SQL, R, SAS, or similar analytical languages, with experience working with large and complex datasets. • Experience conducting exploratory data analysis, feature engineering, model performance testing, back-testing, sensitivity analysis, benchmarking, and outcome analysis. • Familiarity with machine learning techniques and their application within financial services environments. • Understanding of banking products, customer behaviors, and transaction flows relevant to financial crime risk detection. • Experience preparing model documentation, validation reports, technical assessments, and regulatory-facing deliverables. • Ability to communicate complex quantitative concepts and model findings to both technical and non-technical stakeholders. • Strong problem-solving skills, intellectual curiosity, and the ability to work independently in a fast-paced consulting environment. • Professional certifications such as FRM, PRM, CAMS, CFCS, or similar credentials are considered an asset. Total Rewards The salary range for this position is $84,000 - $126,000, 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. Our promise to our people: Deloitte is where potential comes to life. Be yourself, and more. We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance. You shape how we make impact. Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader. Have as many careers as you want. We are uniquely able to offer you new challenges and roles - and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. The next step is yours At Deloitte, we are all about doing business inclusively - that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities,

Required Skills

Actuarial AnalysisAMLData AnalysisData ScienceDocumentationMachine LearningNext.jsProblem SolvingPythonRegulatory ComplianceRisk ManagementSQLStatistical AnalysisStatistics

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