Risk & Financial Advisory - Model Risk Management Analyst (Jun 2025)

Your role

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 their professionals, combined with their specialized products and services, help clients learn how to embrace complexity and leverage their position of strength to accelerate performance.
• Their 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 skill sets to help empower clients across a variety of industries and business functions.

Position Summary:

• As an Analytics Analyst, you will leverage your technology and data analytics skillsets to assist clients as they tackle key business issues that relate to trust.
• You’ll be involved in developing data analysis plans, and 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 they relate 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, and 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 identify 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 their 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 the data lifecycle and solutions development lifecycle in order to help their 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 with 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

About you

Required Qualifications:

• 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
• Their 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 Qualifications:

• 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 team, 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)

Compensation & benefits

The salary for this role is $85,000.

If you join as a full-time employee, you will get the following benefits:

• Empowered well-being
• Paid time off and holidays
• Life and family benefits
• Medical, dental, and vision
• Life insurance and disability
• Health Care Flexible Spending Account (HCFSA)
• Dependent Care Flexible Spending Account (DCFSA)
• Health Savings Account (HSA)
• Before-tax Transportation Program
• Well-being subsidy
• Retirement benefits
• Reward Excellence and employee recognition programs
• Continuous learning, and a supportive team environment
• A supportive, family-like culture where everyone is valued

Training & development

Deloitte offers a Lifetime Learning and Development Curriculum for its talent, based on a global, world-leading competency framework. The curriculum helps talent grow and fosters future leaders through an exceptional smart talent development experience. It includes a suite of competency-based programs focused on learning and development, career milestones, high-potential development, future leaders' succession planning, personal career consultation, coaching, and mentoring.

Career progression

From entry-level employees to senior leaders, they believe there’s always room to learn. They offer opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, their professionals have a variety of opportunities to continue to grow throughout their careers.

Sources

The following sources were used in researching this page:

• deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html
• deloitte.com/cn/en/pages/careers/articles/learning-and-development.html
• youtube.com/@LifeatDeloitteUS