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.
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Manager Responsibilities
Deloitte managers typically work with a project team dedicated to taking direction from a Senior Manager or 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.
Managers lead multiple project work streams, small engagement teams or components of 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
Supervise, lead, and train junior associates in the aforementioned activities as well as career counseling with junior staff
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
Required:
Bachelor’s degree from accredited university
5+ 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
Preferred:
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.
Java, JavaScript, Jquery, Ajax, C#, C++, VBA, VB.Net, ASP.Net, HTML, XML, etc.Reporting Tools – Business Objects, Reporting Services, etc.
Microsoft SQL Server Integration Services
Microsoft SQL Server Reporting Services
Informatica
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
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