Deloitte Risk & Financial Advisory Analyst - Analytics - Model Risk Management

What does trust mean to you? At Deloitte Risk & Financial Advisory, we believe trust is a foundational element of relationships: between workers and their employers; businesses and their customers; shareholders and their corporations; the business ecosystem and society at large. This begs many questions: How is trust built? How is it measured? How can we best react when trust is lost, and avoid losing trust in the first place?

We invite you to join us as we work to build a more trustworthy tomorrow. As an Analytics Analyst, you will leverage your technology and data analytics skillsets to assist our clients as they tackle key business issues that relate to trust. You'll be involved in developing data analysis plans, innovative analytics strategies, developing and assessing organizations' analytics models, and designing and implementing a variety of solutions. By analyzing risk through data and technology, you'll deliver true impact by building a more reliable world.

Work you'll do

Deloitte Risk & Financial Advisory Analytics professionals are skilled at providing advice and recommendations to clients 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.

Specific areas of work could include:

• Use machine learning and other advanced analytical approaches to predict when risk events (such as fraud) have occurred and the associated organizational impact

• Evaluate the client's use of analytical models; provide advice and recommendations on topics such as improving model efficacy, assessing model integrity and compliance with regulatory standards and industry best practices, and organizational governance over model development and deployment

• Design, build, and test quantitative models used across a broad range of areas including market risk, credit risk, pricing of complex financial instruments/derivatives, liquidity, capital, operational risk, as well as Artificial Intelligence/Machine Learning models used across a range of client-facing and business applications and processes.

• Support clients in Artificial Intelligence and Machine Learning related work, including developing and training AI/ML algorithms, solving related data and technology issues, and monitoring and managing AI risk, quality and performance such as model bias and explainability following Deloitte's Trustworthy AI™ framework.

• Map data flows and identifying optimal design, architecture, and governance options as well as potential data risks

• Define and calculate key operations and data risk indicator metrics to help organizations monitor the health and resiliency of their business and data

• Perform data-driven tests and reconciliations to evaluate compliance with regulatory and financial reporting requirements

• Deliver actionable insights through the use of data visualization to assist our clients in making sound business decisions

• Drive operational efficiency through the use of intelligent automation and data visualization

• Assess client's current state capabilities regarding their data infrastructure and use of digital technologies (such as analytics) and provide strategic advice and recommendations on how to scale and deliver increased impact

• Conduct training to help client personnel upskill towards the workforce of the future

Regardless of project type, your work may require:

• A strong understanding of Windows Based systems and proficiency with Microsoft Excel, Word, and PowerPoint

• Proficiency in verbal and written communication skills essential to interacting with clients and teams

• 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 independently and manage multiple projects/assignments/ responsibilities in a fast-paced environment

• Problem solving and critical thinking skills in support of both innovative and operational enhancement opportunities

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

• Ability to identify, learn, understand, and implement new concepts, frameworks and emerging technologies

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

• Proficiency in scripting languages and data visualization platforms

• Ability to work with and manage data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics

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

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: Financial Engineering, Mathematics, Statistics

• Strong academic track record with extracurricular activities (cumulative GPA of 3.0 or above)

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

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

• Our current work environment is a hybrid approach, which means:

• You should reside within a commutable distance of your assigned office with the ability to commute daily, if required

• You can expect to be co-located 30-50% with variations based on types of business/client needs

Preferred:

• Cumulative GPA of 3.2 or above

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

• Demonstrated recent leadership, such as in a campus club, society, sports teams or other activity

• Demonstrated recent social impact or volunteer activity

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

• Microsoft SQL Server, Oracle, Mongo Db

• Predictive Analytics/Data Mining: (e.g., IBM SPSS, SAS Enterprise Miner, R PL , Python, Matlab) Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)

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

• Reporting Tools (e.g., Business Objects, Reporting Services) Financial Tools (e.g. NumeriX, Bloomberg, FinCad, Monte Carlo simulation tools

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

• Cloud capabilities (e.g., AWS, Azure, Google, Oracle, IBM)

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 wage is $85,000.

Information for applicants with a need for Accommodation

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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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 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.

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.