Manager, AML Analytics - Financial Engineering & Modeling

Job Type: Permanent Work Model: Hybrid Reference code: 133929 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 analytics, quantitative modeling, and model risk management. Leveraging your technical expertise and industry knowledge, you will lead the delivery of AML model development and validation engagements while advising clients on model risk, governance, and regulatory expectations. As part of the AML Analytics team, you will work with leading financial institutions to develop, enhance, validate, and optimize AML models and analytics solutions across customer risk rating, transaction monitoring, sanctions screening, and other financial crime frameworks. You will assess model methodologies, data quality, assumptions, performance, and governance practices, helping clients strengthen their financial crime risk management programs and meet evolving regulatory requirements. You will lead multidisciplinary teams of data scientists, model validators, and AML specialists, overseeing engagement delivery, reviewing technical analyses, and presenting findings and recommendations to senior client stakeholders. You will also contribute to business development initiatives, thought leadership, and the growth of our AML Analytics practice. This role offers the opportunity to work at the intersection of financial crime, model risk management, artificial intelligence, machine learning, and emerging technologies, helping clients solve some of their most complex analytical and regulatory challenges. 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: • 5-8+ years of experience in AML, financial crime analytics, model risk management, quantitative modeling, or a related field,including significant experience in AML model development and/or validation. • Advanced degree (Master's or PhD preferred) in Statistics, Mathematics, Economics, Data Science, Computer Science, Engineering, Quantitative Finance, or a related quantitative discipline. • Extensive experience developing, enhancing, validating, and monitoring AML models, including customer risk rating, transaction monitoring, sanctions screening, and other financial crime detection models. • Strong understanding of statistical modeling, machine learning techniques, model performance assessment, threshold optimization, segmentation, and outcome analysis. • Proven experience conducting end-to-end model validations, including conceptual soundness reviews, data and methodology assessments, independent replication testing, sensitivity analysis, benchmarking, and validation reporting. • Deep knowledge of model risk management frameworks and regulatory expectations, including SR 11-7, OSFI E-23, FINTRAC, BSA/AML, OFAC, FinCEN, FCA, EU AMLD, and other relevant financial crime regulations. • Strong programming skills in Python, SQL, SAS, R, or similar technologies, with hands-on experience working with large and complex datasets. Experience with automation and advanced analytics is an asset. • Knowledge of banking products, customer behaviors, and financial crime typologies across retail, commercial, wealth management, and capital markets. • Experience supporting regulatory exams, internal audits, consent order remediation, model governance, or independent assurance activities is highly desirable. • Demonstrated ability to lead client engagements, manage teams, mentor junior practitioners, and communicate complex quantitative findings to senior business, risk, and regulatory stakeholders. • Prior experience within a leading financial institution, model risk management function, financial crime analytics team, regulator, or professional services firm serving financial services clients. • Professional certifications such as CAMS, CFCS, CFE, FRM, or PRM are considered an asset, along with excellent communication skills and the ability to thrive in a fast-paced consulting environment. 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