Analytics Anti-Money Laundering Senior Manager
Analytics Anti-Money Laundering Senior Manager
As used in this document, “Deloitte Advisory” means Deloitte & Touche LLP, which provides audit and enterprise risk services; Deloitte Financial Advisory Services LLP, which provides forensic, dispute, and other consulting services; and its affiliate, Deloitte Transactions and Business Analytics LLP, which provides a wide range of advisory and analytics services. Deloitte Transactions and Business Analytics LLP is not a certified public accounting firm. These entities are separate subsidiaries of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. Certain services may not be available to attest clients under the rules and regulations of public accounting.
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Deloitte Transactions and Business Analytics LLP (DTBA) advises clients on managing business controversy and conflict, executing deals, and maintaining regulatory compliance. We provide services to companies throughout their lifecycle from purchasing a company to investigating potential fraud.
We help clients address serious business concerns across a range of corporate activities, such as completing transactions and strategic investments, investigating and deterring potential fraud, managing the litigation process, and preparing for reorganization.
Our work in these areas has earned us recognition as leader among advisory firms. In fact, Kennedy Consulting Research & Advisory ranked Deloitte #1 globally in Forensics and Dispute Advisory Services in 2013, and Deloitte was named a 2013 Kennedy Vanguard Leader in both Forensic & Investigative Services and Dispute Advisory & Analysis Services based on breadth and depth of capabilities.
DTBA Analytics is a fast-growth practice within Deloitte FAS that centers around several of the hottest areas of business today – analytics, forensic analysis, and litigation support – and the specialized skills that make careers in these areas both fascinating and in high-demand. Our Analytics team makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to bring insights to client issues in the forensic and transaction domains. We work with Deloitte specialists in many areas, and we apply our solutions to a wide range of highly interesting and complex corporate events, such as forensic investigations, anti-corruption compliance, restructuring, valuation, anti-money laundering compliance, and construction management, to explain what has occurred in the past and to support informed decision making for the future. Our work increasingly employs specialized competencies, such as advanced analytics, visualization, and geospatial techniques.
DTBA Analytics is composed of two Service Areas, which share similar approaches, but offer different experiences and skillsets:
- Data Analytics: This involves strategic analysis of structured (e.g. transactional) and unstructured (e.g. text) electronic data, from initial data scoping and collection through transformation and validation, for purposes of deep data analysis and mining. This analysis is performed as the basis for larger efforts that include rules- and indicator-based testing, inductive reasoning, and visualization techniques. These methods are used to identify, deter, and prevent fraud schemes and scenarios, develop models that depict or describe historical events, and build predictive models for future anti-fraud and anti-corruption efforts. Analytical methods are also commonly used to mine and develop insights into large volumes of data to help navigate intricate legal processes and identify areas of opportunity for business process improvement. Additionally, analytics is often used to assist troubled companies in peer analysis, quantifying opportunity cost, and discerning areas of strategic improvement.
- Application Development: From standalone tools to enterprise web applications, we leverage a modern proprietary services-based development platform and agile methodology to assist clients with processing data, presenting findings, and documenting decisions. We serve both external clients and internal clients with a focus on enhancing existing FAS products and service offerings
Advanced Analytics: We use advanced analytic techniques, such as rules, anomaly detection, regression, data mining algorithms, and link analysis, to develop models that classify or predict potential outcomes. We apply these approaches to help organizations discover, detect, investigate, and prevent fraud and other financial crimes at an enterprise-level. These methods leverage specialized tools and technologies, including SPSS, SAS, and SAP.
- Economic and Statistical Consulting: We apply advanced economic, finance, and quantitative techniques to address complex business and legal challenges, creating strategies and providing expert testimony for government agencies, leading law firms, and corporations. These techniques include development of economic and statistical models and the application of state-of-the-art analytical tools to uncover patterns and correlations in complex data to help predict likely future outcomes.
- Geospatial Consulting: We analyze geographic data, using a combination of spatial software and analytical methods, to assist clients in making strategic decisions, reducing risks, increasing efficiency, and realizing organization goals.
- FAS Analytics Institute (FAI): This is a team of analytics experts from industry and academia, dedicated to researching and developing FAS’ advanced analytics capabilities in text, visual, predictive, and geospatial analytics. The FAI develops advanced analytics techniques and approaches that lead to enhancement of existing FAS products and services or the creation of new FAS products and services.
In addition, DTBA Analytics professionals are positioned to team with and provide leadership and guidance to broader Deloitte-wide analytics initiatives and global opportunities. Our practitioners have the opportunity to stay current on the latest analytics tools and techniques, as well as industry and regulatory-specific developments. From a career development standpoint, we offer unparalleled opportunities for personal and professional development afforded by our client base, engagement volume, global exposure, and mentoring programs. In addition to on-the-job training, Data Analytics offers live, in-person, and virtual learning opportunities, external development courses, a four-week boot camp program for campus hires, and an in-person national DTBA Analytics meeting for all practitioners.
Examples of areas in which DTBA Analytics has delivered value to clients include:
- Implementing an advanced tax fraud system to help uncover hidden relationships (e.g., organized fraud rings), pinpoint suspicious tax-return patterns, prioritize and effectively assign fraud cases, and provide insight into historical behavioral information that can recognize repeat offenders.
- Enhancing the integrity of financial systems by facilitating the detection and deterrence of financial crime.
- Preventing immigration benefits from being granted to individuals who pose a threat to national security or public safety or who seek to defraud the immigration system.
- Enabling an energy and resources client to proactively detect and prevent fraud and corruption within their third party supplier and procurement process.
- Enhancing a transaction-monitoring program for a financial services client by assisting them in the development and implementation of a methodology to analyze, test, and tune various money laundering and terrorist financing detection scenarios.
- Delivering an analytics solution that created a predictive coding model to assist a financial services client with identifying and categorizing an enormous volume of privileged and non- privileged documents related to a large bankruptcy case.
- Helping to resolve a royalty distribution dispute in the client’s favor by developing and articulating an economic model that showed how to determine the relative market value of the copyrighted content.
Our dedicated Deloitte FAS professionals bring vast experience, specialized skill sets and deep industry knowledge to our clients. This personalized level of service, combined with the market reach and technical resources of the Deloitte Touche Tohmatsu Limited (DTTL) member firms and their affiliates, enables us to respond to the complex and diverse needs of our clients around the world.
Senior Managers are professionals with a strong record of academic and professional achievement who have the capacity and desire for continuous development and growth. Deloitte professionals must be capable of working and communicating with people at all levels of an organization.
As a Senior Manager, you will be asked to provide leadership in a variety of challenging roles, make significant contributions in a relatively short time frame, take responsibility for the way you manage your time, develop your skill set, and deliver innovative solutions to the client. Your career success is dependent on your ability to personalize your career path and identify and grow your internal and external network. Additionally, you will be noted for your ability to grow the careers of others in your capacity as a mentor to junior staff members. We don’t expect you to do this alone – our environment provides multiple opportunities for you to further develop your skills through our training curriculum and mentoring programs.
Senior Manager Responsibilities
Deloitte managers typically work with a project team dedicated to taking direction from a Principal/Partner/Director. They work side by side with the P/P/D often with exposure to executives, organizational leaders and their legal counsel. Project teams either work onsite with the client team or from a Deloitte office. Either location may necessitate regular travel and requires flexibility with the significant travel requirements of client service projects.
Senior Managers lead multiple project work streams, small engagement teams or large, complex engagements. They mentor junior practitioners, guiding them as they conduct detailed data analysis for developing meaningful insights to address regulatory and business challenges across industries.
Engagements include a wide variety of solutions, tailored to the client’s needs, and are often performed in conjunction with industry and subject matter experts from throughout Deloitte. Responsibilities typical of a Manager on one of these projects could include:
- Create, manage, and utilize high performance relational databases (SQL Server 2012, Oracle 11.2, Sybase, OLAP and other proprietary software)
- Query and mine large data sets to discover transaction patterns, examine financial data and isolate targeted information – using traditional as well as predictive/advanced analytic methodologies
- Lead the design and development of user-defined web-based application modules, perform data quality control, develop database reports and user interfaces, and normalize relational data
- Lead the preparation and presentation of complex written and verbal materials, including reports, findings, presentations, and project planning
- Possess knowledge of and be able to effectively employ advanced analytic tools which utilize visualization (Tableau, Qlikview etc.), predictive modeling (SPSS, SAS, neural networks etc.), case management, ETL data cleansing, geospatial analyses, risk management and social media data enrichment
- Make contributions outside of your projects, including:
- Supporting practice development initiatives and investments, such as marketing, recruiting, and knowledge sharing
- Networking and negotiating to identify and sell potential new services or expand existing engagements by leveraging client relationships
- Generating marketplace eminence through the creation of intellectual property across a host of mediums including but not limited to: articles, whitepapers, webcasts and other audio visual presentations
- 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 analytics software, such as SAS or Microsoft SQL Server
- 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 ability to provide services related to AML analytics; participate in client presentations
- Proficiency with Microsoft Excel, Word, and PowerPoint
- Flexibility to travel up to 100%
- Commitment to personal and professional growth, including the development of peers and junior staff
- Sense of responsibility to self, team and client
- Outstanding integrity, initiative, creativity, and passion
- 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, Finance, Management, Statistics)
- Electrical or other related Engineering disciplines
- Management Information Systems
- Mathematics, Economics or Statistics
- Additional competencies strengthening candidacy:
- Experience managing data analytics projects related to one or more of the following: transaction monitoring system implementation, development of customer risk rating models, customer segmentation, threshold tuning, and data quality assessments.
- Experience working with any of the following AML technology platforms: Mantas, Actimize, SAS, Norkom, Patriot Officer, SearchSpace
- Experience with statistical analysis tools include: SAS, SPSS, Stata
- Experience with statistical techniques to include sampling, optimization, logistic regression, cluster analysis.
- Experience with any of the following:
- Microsoft SQL Server, Oracle, Sybase, OLAP, etc.
- Data Visualization Tools – QlikView, Tableau, etc.
- Microsoft SQL Server Integration Services
- Microsoft SQL Server Reporting Services
- RapidMiner, MATLAB
- Algorithms – Self Organizing Maps, Neural Networks, Decision Trees, Naïve Bayes, etc.
- Big Data Tools – Hadoop, Hive, Pig, Impala, Mahout, etc.
- Experience in web application design, user acceptance testing and rapid software development life cycle
- Experience in a professional services firm
- Experience with budgetary responsibilities related to projects or resources
Requisition code: E17NATASRMLF004-AML
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