Ready for an exciting, fast-paced career? Have a passion for digging into data, models and predictive analytics, drawing conclusions, and developing recommendations? As an Analyst 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 skills. You'll be involved in developing data analysis plans, innovative analytics strategies, developing and assessing agency models, and designing and implementing a variety of solutions that help clients address challenging business issues.

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

　　Work you'll do

　　Deloitte Risk & Financial Advisory Analytics professionals are skilled at providing advice and recommendations to agencies in addition to developing and deploying leading technology and analytics-enabled solutions to solve their most pressing business challenges as it relates to risk and trust. Sample Analyst responsibilities may include:

　　DEVELOPING ANALYTICS SOLUTIONS

　　Designing, building, and testing quantitative and AI/ML-based models across a broad range of business areas, for example: ESG, digital assets, blockchain, and predicting when risk events (such as fraud) have occurred and the associated organizational impact

　　Defining and calculating key operations and data risk indicator metrics to help agencies monitor the health and resiliency of their business and data.

　　Performing data-driven tests and reconciliations to evaluate compliance with regulatory and financial reporting requirements.

　　Delivering actionable insights using data visualization and operational efficiency through the use of intelligent automation.

　　ASSESSING CLIENT'S DATA & ANALYTICS CAPABILITY AND PROVIDING STRATEGIC ADVICE & RECOMMENDATIONS

　　Helping agencies understand their business and data requirements and developing data sourcing and architecture strategies to fulfill those requirements.

　　Assessing client's current state regarding their data infrastructure and use of digital technologies (such as analytics); and providing strategic advice and recommendations on how to scale and deliver increased impact with optimal design, architecture, and governance while mitigating data risks.

　　Evaluating the client's use of analytical models; providing advice and recommendations on topics such as improving model efficacy, enhancing model governance, and assessing compliance with leading practices and regulatory standards (e.g. model bias and explainability following Deloitte's Trustworthy AI™ framework).

　　Regardless of project type, your work may require:

　　Proficiency in scripting languages and data visualization platforms

　　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

　　Understanding of the data lifecycle and solutions development lifecycle in order help our clients understand their data and develop actionable solutions to manage it

　　Ability to work 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

　　Ability to collaborate and communicate across Deloitte team members and client stakeholders

　　Ability to identify, learn, understand, and implement new analytics concepts and data management frameworks

　　Ability to manage own personal and professional development; seek opportunities for professional growth and expansion of consulting skills and experience

　　The team

　　Data can often hold the key to future growth opportunities for many complex agencies. GPS Deloitte Risk & Financial Advisory helps agencies 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 to bring insights to client issues in the financial, regulatory, forensic and transaction domains. What's more, they are able to deploy their skillsets to help empower our clients across a variety of industries and business functions. Learn more about our team at Deloitte.

　　Qualifications

　　Required:

　　Pursuing a Bachelor or Master's degree in one or more 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, Mathematics, Statistics, Actuarial Mathematics

　　Strong academic track record (preferred GPA of 3.2 or above, minimum GPA of 2.8)

　　Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve

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

　　Must be able to obtain a U.S. Security Clearance

　　Preferred:

　　Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)

　　Familiarity with a variety of analytics tools and programming languages such as, but not limited to:

　　Foundational capabilities:

　　Scripting languages: SQL, Python, HTML, VBA, SAS, R

　　Data Visualization Tools: Tableau, Power Bi, QlikView

　　Data Management: Microsoft SQL Server, Oracle, Mongo Db

　　Experience in one of the following specializations:

　　Advanced analytics specialists:

　　Predictive analytics & data mining

　　Machine learning & cognitive

　　Big Data Tools: Hadoop, Hive, Pig, Impala, Mahout

　　Financial Tools (e.g. NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools)

　　Reporting specialists:

　　Business Objects, Reporting Services

　　Advanced visualization design capabilities

　　App development specialists:

　　HTML, Java, JavaScript, etc.

　　Cloud knowledge and capabilities

　　AWS

　　Azure

　　Google

　　Oracle

　　IBM

　　Plans to achieve a professional certification that will accelerate your ability to deliver impact to our clients

　　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.