Data Analytics, Anti Money Laundering Manager_

Portland

Position Summary

Anti-Money Laundering (AML) Analytics is one of the fast-growing practices in Deloitte. Within our Regulatory and Legal Services, our specialized teams center around advanced solutions to test and validate sanction screening and transaction monitoring systems to ensure our financial clients can meet regulatory requirements while improving existing detection systems. Our AML Analytics teams makes extensive use of data, statistical and quantitative analysis, rules-based methods, explanatory and predictive modeling to bring insights to client issues in the AML and Economic Trade Sanctions domain.

As a Data Analytics Manager focusing on AML, you will have the opportunity to be on the forefront of helping clients meet the myriad challenges of financial crime issues. Using advanced analytics capability and deep technical experience, our subject matter team helps our top clients mitigate the risks associated with financial crime, terrorist financing, sanctions violations, as well as to improve their screening and transaction monitoring systems. Our team of highly specialized analysts help align top financial institutions with industry practices for sound programs and controls. You will build your professional skills through a variety of project experiences by assisting our clients to understand the complexities of issues they face, and by implementing elite solutions to help them remediate identified issues.

Recruiting for this role ends on 9/30/2024.

Work you'll do

Engagements include a wide variety of solutions, tailored to the client's need, and are often performed in conjunction with industry and subject matter experts from throughout Deloitte. Responsibilities typical of an analytics manager on one of these projects may include:

+ Lead a team of data analytics experts, software engineers, and business analysts to develop data-driven solutions using traditional and emerging technologies to solve complex regulatory risk and AML challenges.

+ Use an intelligence led approach to transaction monitoring and challenge the existing TM landscape.

+ Enhance global transaction monitoring functions to meet regulatory regulations using model development, model validations, and model tuning and calibration.

+ Utilize platforms such as Actimize, Oracle FCCM, LexisNexis Fircosoft, Bridger, SAS Vija, SAI/Norkom.

+ Manage data analytics and solution development engagements in partnership with internal and external AML and financial crimes compliance, audit, IT, and business teams.

+ Supervise day to day operations, set up processes for delivery including technical/functional documentation, scope of work, resource planning, design, implementation, and quality assurance.

+ Facilitate technical skill-building within the team including training, research, and innovation.

+ Use advanced Machine Learning deployment (XGBoost, Ensemble) and GenAI approaches.

+ Translate analytical solution into actionable insights & recommendations for technical & non-technical audience in a clear, concise, and persuasive way.

+ Closely liaise with internal and client stakeholders to provide regular updates on project delivery covering aspects such as quality, timelines, risk, and issue management.

+ Track internal metrics such as utilization, Budget Vs Spend, resource allocation and ensure metrics are within targets.

+ Participate in the business development and marketplace eminence activities with new or existing clients.

+ Provide input with respect to practice technology initiatives and investments to help strategic roadmap planning.

Qualifications

Minimum Qualifications

+ Bachelor's degree from accredited university.

+ 7+ years of hands-on technical experience mining and analyzing electronic transactional data with a strong working knowledge of a relevant programming languages such as SQL, Oracle, Python.

+ Demonstrated ability to communicate effectively to all levels of client and engagement management.

+ Capable of balancing multiple projects with strong ability to properly delegate and meet deadlines.

+ Demonstrated experience related to AML, Know-Your-Customer (KYC), Transaction Monitoring, and Sanctions data, technology, and deep analytics experience.

+ Proficiency Power BI, Tableau, Machine learning and model development.

+ Experience with a preferred platform such as Actimize, Oracle, LexisNexis Fircosoft, SAS Viya.

+ Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.

+ Commitment to personal and professional growth, including the development of peers and staff.

+ Sense of responsibility to self, team, and client.

+ Outstanding integrity, initiative, creativity, and passion.

+ Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

+ Candidates must be at least 18 years of age at the time of employment.

Preferred:

In addition to the above qualifications,

+ Educational background in one or more of these areas:

+ A dual major/minor combination including technology (e.g. Computer Science or Management Information Systems) and business (e.g., Accounting, Business Administration, Economics, Mathematics, Finance, Management, Statistics)

+ Managing teams and engagements

Additional competencies strengthening candidacy:

+ Data analytics project experience related to one or more of the following: transaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modelling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation.

+ Experience with developing business analysis, proposals, workshops in Microsoft PowerPoint.

+ Experience with wire transfers, trade finance, broker/dealer trades. Data governance, data lineage, data testing.

+ Experience working AML technology platforms.

+ Experience with data analytics tools and engineering skills using Informatica, Kafka, Snowflake, Hadoop.

+ Experience with techniques and algorithms to include sampling, optimization, logistic regression, cluster analysis, Neural Networks, Decision Trees, supervised and unsupervised machine learning.

+ The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,815 to $252,450.

+ You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

+ Information for applicants with a need for accommodation: eloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.