Financial Consultant

Are you looking to make an impact by helping agencies meet their mission goals through successful implementation and operation of their regulatory, mission or compliance programs? Are you ready to help our clients mitigate risks that arise from transformational core business operational change or ongoing operations? Are you interested in helping clients transform how they operate their business to be more effective? If so, Deloitte’s Regulatory Compliance team could be the place for you! Our team brings professionals with diverse skillsets including deep experience in industry, AI-enabled data analytics, statistical modeling, and cloud technologies to help our clients preserve their reputation and public trust of their agencies while managing regulatory demands.

Work you’ll do

You will drive day-to-day quantitative risk analysis including the development, maintenance, and operations of a suite of econometric, stress testing, and advanced analytical models and business intelligence tools. You will be accountable for interpreting and translating results, trends, and takeaways to team members, clients, and executive leadership with varying levels of subject matter knowledge. You will be responsible for executing and maintaining the effectiveness of model risk management including key modeling governance activities around change management, performance monitoring, and testing, in alignment with regulatory guidance and industry best practices. You will be responsible for mentoring and developing junior analysts.

This is a cross-functional role where you will interact with economic analysis and forecasting, model development and validation, data collection and reporting to assist, from a business perspective, in overall production processes.

The team

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000+ professionals bring fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

We bring a diverse set of forward-thinking capabilities to help agencies proactively manage risks they face in their dynamically changing environments. Our team assesses and transforms the process, controls, and/or infrastructure needed to help our clients address a wide variety of regulatory and compliance risks. We leverage solutions that align to the end-to-end regulatory lifecycle through leveraging AI technology and innovative solutions that incorporate industry as well as domain knowledge.

Qualifications

Required:

• Bachelor’s Degree
• 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 and maintain the required clearance for this role
• Bachelor’s Degree with 2+ years of experience performing, managing, or leading teams in big data analytics, modeling, and reporting.
• Experience building quantitative stress testing models and frameworks, including credit risk and economic scenario analysis
• Experience across the entire model development lifecycle, including interacting with model risk management teams and executing model governance best practices.
• Deep technical understanding, including proficiency in an analytical programming language, in particular SAS and ideally also Python or R.
• Experience with SAS coding
• A driven self-starter with an aptitude for project management and team leadership.
• Strong writing and presentation skills and be able to strategically and effectively communicate with clients, external and internal stakeholders, and work collaboratively across business units, technology, and policy teams.

Preferred:

Master’s degree

• Experience with modeling risks specific to the housing finance system
• Experience with advanced machine learning techniques and packages
• CFA, FRM, INFORMS CAP, or similar industry certificate

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 orga