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
- From a technical perspective this is a cross-functional role where you will collaborate with platform engineers, data engineers, system designers, architects, database administrators, and cyber security risk professionals to assist in the overall design of production modeling systems
- Develop, deploy, and manage AI technologies in a manner that complies with regulatory and ethical principles. This involves considering the potential consequences of AI systems and ensuring that they are designed and used in ways that minimize harm while maximizing the value of providing modeling insights delivered to our clients
- Drive the development, ongoing maintenance, and governance of advanced machine learning models and AI pipelines in a growing AI environment
- You will be working with a team of data scientists, engineers, and model validation professionals in designing and releasing new capabilities to advance data science techniques and improve the trust and transparency in the AI modeling lifecycleinterpret and translate model results, metadata, trends, and takeaways to team members, clients, and executive leadership with varying levels of subject matter knowledge.
- You will be supporting thought leadership on the evolving agenda of AI model governance of overseeing the execution and effectiveness of key modeling governance activities around performance monitoring, testing, and change management in alignment with industry best practices.
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:
- Bachelor’s degree required
- 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
- 4+ years of experience managing and analyzing big data
- Hands-on development experience of AI/ML models, open-source software packages, or cloud AI software
- Experience across the entire model development lifecycle, including interacting with model risk management teams and executing model governance best practices to support trust in AI
- Deep technical understanding, including proficiency in an analytical programming language, such as SAS, Python, or R
- Genuine passion for AI and interest in using machine learning techniques to solve practical business problems and ethical concerns
- A driven self-starter and leader with strong project management skills and proven instances of successfully delivering AI projects and systems
- A team player who can mentor and grow the team around you
- Attentive to detail and quick to adapt to new challenges
- Strong executive presentation skills to effectively communicate with internal and external stakeholders across business units, technology, and policy teams
Preferred:
- Master’s degree or Ph.D. in a quantitative field, such as computer science, mathematics, statistics, economics, or physics
- Experience with advanced machine learning techniques and packages (TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, Seaborn, Orange3, SciPy, Matplotlib, Theano)
- Development experience of explainable AI algorithms and frameworks (LIME, SHAP)
- Project Management certification (PMP, PRINCE) and/or Agile (e.g., APM, CSM, PMI-ACP, SAFe SM, CSPO)
- Cloud certifications (AWS, Azure, Google Cloud)
- Experience orchestrating MLOps pipelines (MLflow, Kubeflow)
- Experience with designing controls for adversarial machine learning threats
- Published research in the field of AI ethics or AI trust
- Development of AI audit or governance frameworks