Inclusively is partnering with a multinational professional services network to hire a Audit & Assurance Analyst – Risk Technology & Analytics. **Please note: this role is NOT an internal position with Inclusively but with the partner company.** ABOUT INCLUSIVELY Inclusively is a digital tech platform that empowers job seekers with disabilities, caregivers, and veterans by using Success Enablers–accommodations and personalized workplace modifications that help all job seekers reach their full potential and excel. This includes all disabilities under the ADA, including mental health conditions (e.g. anxiety, depression, PTSD), chronic illnesses (e.g. diabetes, Long COVID), and neurodivergence (e.g. autism, ADHD). Create your profile, select Success Enablers, and connect to jobs from our partnered employers who are committed to creating diverse and inclusive teams. When registering, you must acknowledge that this platform is for people with disabilities, caregivers, and veterans . However, Inclusively does not require candidates to disclose their specific disability to join the platform. Main tasks will include: * Translate complex data into actionable insights, enabling clients to make informed decisions and enhance their risk management strategies through advanced analytical tools, AI, and Machine Learning. * Create automation toolkits, standardizing templates and inputs to drive more efficient and reliable outputs. * Streamline data pipelines to improve process consistency and data management. * Visualize and communicate results to be easily digestible for key stakeholders with Tableau & PowerBI * Advise teams on automating control testing and perform continuous monitoring to drive efficiency, acknowledging the risks. DEVELOP DIGITAL SOLUTIONS * Design, build, and test quantitative and AI/ML-based models across a broad range of business areas, for example: ESG, digital assets, blockchain, and predicting when risk events (such as fraud) have occurred and the associated organizational impact * 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 and operational efficiency through the use of intelligent automation. * Develop agentic AI-based digital applications to enable clients and team members to reach higher levels of efficiency and effectiveness in their assurance work. ASSESS CLIENT’S DATA & DIGITAL CAPABILITY AND PROVIDE STRATEGIC ADVICE & RECOMMENDATIONS * Help businesses understand their business and data requirements and developing data sourcing and architecture strategies to fulfill those requirements. * Assess client’s current state regarding their data infrastructure and use of digital technologies (such as analytics & AI); and provide strategic advice and recommendations on how to scale and deliver increased impact with optimal design, architecture, and governance while mitigating data risks. * Evaluate the client’s use of analytical models and AI; providing advice and recommendations on topics such as improving model efficacy, enhancing model governance, and assessing compliance with leading practices and regulatory standards (e.g. model bias and explainability following Trusted & Secure AI™ framework). Regardless of project type, your work will require: * Proficiency in verbal and written communication skills essential to interacting with clients and teams * 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 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 * A strong understanding of Windows Based systems and proficiency with Microsoft Excel, Word, and PowerPoint * Understanding of the data lifecycle and solution development lifecycle in order help our clients understand their data and develop actionable solutions to manage it * Ability to work with and managing data sets, including extraction and merges from source systems, transformation, and providing preliminary descriptive analytics * Familiarity with Machine Learning and AI techniques Qualifications Required: * Bachelor or Master’s degrees in the following majors will be considered: * Data Analytics, Computer Science, Management Information Systems * Economics, Econometrics, Quantitative Finance, Finance, Accounting, Business Analytics * Industrial Engineering, Computer Engineering, Financial Engineering, Mathematics, Statistics, Actuarial Mathematics * Limited immigration sponsorship may be available * Strong academic record, cumulative GPA of 3.0 or above * You should reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations * You can expect to co-locate at office or client site on average 3 times a week with variations-based business needs * Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve Preferred: * Meets minimum educational requirements for CPA licensure (which may differ from the educational requirements to sit for the CPA exam) in the state of your assigned office location prior to beginning full-time employment * 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 * Familiarity with a variety of analytics tools and programming languages such as, but not limited to: * Foundational capabilities: * Scripting languages: SQL, Python * Data Management: Microsoft SQL Server, nonrelational databases (e.g. Mongo Db), Snowflake, Databricks, etc. * Experience in either specialization: * Advanced analytics specialists: * Exploratory data analysis & population profiling * Predictive analytics & data mining * Data Visualization Tools: Tableau, Power Bi, QlikView * Machine learning & cognitive * App development specialists: * React, Angular, Vue.js, etc. * Cloud (AWS, GCP, Azure, etc.) * Containerization (e.g. Docker, Kubernetes) * Large Language Models (OpenAI, Gemini, etc.) * API Development * UI/UX Design