Internal Audit Analytics Manager

Ready for an exciting, fast-paced career? Have a passion for digging into data, models and predictive analytics, drawing conclusions, and developing recommendations? As a Manager in Deloitte Risk & Financial Advisory, you'll have the opportunity to gain valuable hands-on experience working alongside leading professionals while building your professional skills in a variety of analytical techniques and industry skills. You'll manage the developing data analysis plans, innovative analytics strategies, developing and assessing organizations' models, and designing and implementing a variety of solutions that help clients address challenging business issues.

Our Deloitte Risk & Financial Advisory practice helps organizations effectively navigate business risks and opportunities-from strategic, reputation, and financial risks to operational, cyber, and regulatory risks-to gain competitive advantage. We apply our experience in ongoing business operations and corporate lifecycle events to help clients become stronger and more resilient. Our market-leading teams help clients embrace complexity to accelerate performance, disrupt through innovation, and lead in their industries.

Work you'll do

You will analyze, manipulate, and manage data to deliver meaningful insights necessary to help companies of all sizes and across multiple industries address regulatory and business challenges. Sample manager responsibilities may include:

• Leading the querying and analyzing small and large data sets to discover patterns and deliver meaningful insights
• Creating, managing, and utilizing structured and unstructured data stores
• Performing current state assessment of client analytics and data management capability
• Developing system requirements, designing and prototyping, testing, training, and defining support procedures and implementation
• Mapping data flows and identifying optimal design, architecture, and governance options as well as potential data quality risks
• Assessing and strengthening our clients' data risk management and controls environments
• Developing business solutions leveraging emerging automation, cognitive, visualization, and machine learning tools and understanding how these solutions can be deployed within the Cloud
• Developing and assessing client models; valuing financial instruments; and helping clients navigate governance, regulatory, control, and reporting requirements across a range of industries and sectors
• Assisting our clients with the development and implementation of data-driven strategies for regulatory compliance and surveillance
• Assisting our clients to understand risks and develop necessary compliance and surveillance structures for extended enterprise and IOT environments
• Reviewing client deliverables before presenting to the client

Regardless of project type, your work will require:

• Proficiency in verbal and written communication skills essential to interacting with clients and teams
• Ability to work independently and manage multiple projects/assignments/ responsibilities in a fast-paced environment
• Prior experience working with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics
• Problem solving and critical thinking skills
• Ability to quickly and concisely research and collect data from unique places
• Ability to synthesize data and convey information in a meaningful way

The team

Data can often hold the key to future growth opportunities for many complex organizations. Deloitte Risk & Financial Advisory helps organizations navigate a variety of risks to lead in the marketplace and

disrupt through innovation. The insights of our professionals, combined with our specialized products and services, help clients learn how to embrace complexity and leverage their position of strength to accelerate performance. Our Analytics professionals make extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling in order to bring insights to client issues in the financial, regulatory, forensic and transaction domains. Learn more about our team at Deloitte.

Qualifications

Required:

• Undergraduate or Master's degree in one of the following majors with relevant analytics or data management focused coursework desired:
• Technology: Data Analytics, Computer Science, Management Information Systems Business: Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics
• Math/Engineering: Industrial Engineering, Computer Engineering, Financial Engineering, Math, Statistics, Actuarial

• Ability to travel up to 50% (While up to 50% travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice)
• Limited sponsorship may be available

Preferred:

• Strong academic track record (GPA of 2 or above)
• 6+ years of hands-on technical experience mining and analyzing transactional electronic data with competency in a variety of analytics tools and programming languages and platforms such as, but not limited to:
• Microsoft SQL Server, Oracle, Mongo Db
• Languages (e.g., SQL, Java, JavaScript, jQuery, AJAX, C#, C++, VBA, VB.Net, Net, HTML, SAS)
• Reporting Tools (e.g., Business Objects, Reporting Services)
• Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout)
• Machine Learning/Cognitive (e.g., Python, Mahout, CognitiveScale)
• Predictive Analytics/Data Mining: (e.g., IBM SPSS, SAS Enterprise Miner, RPL, Python, Matlab)
• Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)
• Cloud Platforms (e.g. Amazon Web Services, Microsoft Azure, Google Cloud Platform)
• Financial Tools (e.g. NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools

Information for applicants with a need for accommodation: ;br>
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.