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Deloitte Deloitte Government & Public Services Risk & Financial Advisory Solution Analyst - US Delivery Center - Analytics - Summer/Fall 2024 in Lake Mary, Florida

Deloitte Government & Public Services Risk & Financial Advisory Solution Analyst - US Delivery Center - Analytics 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 Solution 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. Our US Delivery Centers have been growing since 2014 with significant with continued growth on the horizon. If you're interested, read more about the type of work you'll do below.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below.

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. Solution 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

From our Delivery Centers, we work with Deloitte Risk & Financial Advisory practitioners to help 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. We emphasize the value of each individual, providing customized career paths, fostering innovation and knowledge development with a focus on quality. The US Delivery Center supports a collaborative team culture where we work and live close to home with limited travel.

Learn more about our Deloitte Risk and Financial Advisory practice at Deloitte.

Qualifications

Required:

  • 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 (minimum cumulative GPA of 2.8)

  • Ability to travel up to 15%, 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:

  • Strong academic track record (minimum cumulative GPA of 3.0)

  • 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:

  • Microsoft SQL Server, Oracle, Mongo Db

  • Languages (e.g., SQL, Java, JavaScript, jQuery, AJAX, C#, C++, VBA, VB.Net, ASP.Net, HTML, SAS)

  • Reporting Tools (e.g., Business Objects, Reporting Services)

  • Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout)

  • Machine Learning/Artificial Intelligence (e.g., Python)

  • Predictive Analytics/Data Mining:(e.g., R, Python, IBM SPSS, SAS Enterprise Miner, Matlab)

  • Data Visualization Tools (e.g., Tableau, Power Bi, QlikView)

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

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 $65,000 to $68,000.

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.

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