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
- Own and drive day-to-day quantitative analysis and modeling including developing, maintaining, and operating a suite of econometric and advanced analytic models and business intelligent tools
- Accountable for interpreting and translating results and takeaways to clients, team leadership, and team members with varying levels of subject matter knowledge
- Responsible for executing and maintaining the effectiveness of key modeling governance activities around change management, performance monitoring, and testing, in alignment with industry practices
- Develop innovative analyses which may include dataset manipulation and transformation, piloting of cutting-edge analytical techniques and technologies, and transformation of statis reporting into dynamic visuals
- Cross Functional role where you will interact with data collection, reporting system designers, architects, database administrators, and cyber risk professionals to assist in overall production for our clients
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 brings 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:
- Must be able to obtain and maintain required clearance for this role
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Bachelor’s Degree in a quantitative field such as statistics, data science, economics, finance, mathematics
- 4+ years of experience performing advanced big data analytics, modeling, and reporting with an intuitive understanding of translating data analysis into insights, recommendations, and actions, that is, the ability to see the big picture as the outcome of advanced data-based analytics
- Experience across the entire model development lifecycle, including interacting with model users, model risk management teams and executing model governance best practices.
- Deep technical understanding, including proficiency in an analytical programming language, such as SAS, Python, or R, to provide clear technical direction, mentoring and growing the skills of your team.
- A driven self-starter and leader with strong project management experience, including a successful track record of delivering mission-critical projects.
- Strong verbal and written executive presentation skills, the ability to strategically and effectively communicate with external and internal stakeholders, as well as collaboratively across business units, technology, and policy teams.
Preferred:
- Master’s degree or PhD in a quantitative field such as Statistics, Data Science, Economics, Finance, Mathematics
- Experience with designing and building quantitative analysis and models within financial services, health care, or the defense industry, or similar industry specific experience
- Experience with developing audit or governance frameworks
- Cloud certifications (AWS, Azure, Google Cloud)