Senior Consultant-AI and Data Risk Management
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Key skills for this role
About the Role
Deloitte is seeking a Senior Consultant for its AI & Data Risk team to deliver data-driven solutions for financial services clients. You will design data management solutions, build data pipelines, and integrate AI/ML technologies.
Key Skills for This Role
Responsibilities
- Serve as a key contributor on multi disciplinary teams, collaborating closely with managers and client stakeholders to deliver high quality data and analytics engagements
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development
- Assist in the design, implementation, and optimization of data management solutions this includes data architecture, platforms, governance, quality, and security initiatives
- Apply knowledge of Financial Services industry systems and technologies to build robust, scalable solutions
- Support the integration of next generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients
- Prepare project documentation, status updates, and client ready deliverables highlighting progress, technical findings, and recommendations
- Present findings and insights to stakeholders in a clear and compelling manner
Requirements
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field
- 4+ years' experience in data architecture, data management, or data engineering
- 2+ years of experience in the financial services or fintech industry
- Proficiency in programming/scripting: Python, SQL, R, Java, Scala, etc.
- Experience with big data tools: Databricks, Snowflake, Apache Spark/Kafka, etc.
- Experience with data management tools: Collibra, Alation, Informatica, Alteryx, etc.
- Experience with predictive analytics: Python, IBM SPSS, SAS, RPL, etc.
- Experience with data visualization: Tableau, PowerBI, Qlik, etc.
- Experience with data mining/data warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- Ability to travel up to 50% on average
Full Job Posting
Work you'll do
- As a Senior Consultant in our AI & Data Risk team, you will play a critical role in delivering innovative data driven solutions for clients across financial services, fintech, and technology industry sectors.
Key Responsibilities
- Serve as a key contributor on multi disciplinary teams, collaborating closely with managers and client stakeholders to deliver high quality data and analytics engagements.
- Guide and mentor junior team members, providing direction on project tasks and supporting skill development.
- Assist in the design, implementation, and optimization of data management solutions this includes data architecture, platforms, governance, quality, and security initiatives.
- Apply your knowledge of Financial Services industry systems and technologies to build robust, scalable solutions.
- Support the integration of next generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables.
- Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team.
- Collaborate with cross functional teams both internal and external to execute project tasks and fulfill engagement objectives.
- Develop and utilize analytics and visualization tools to transform complex data into meaningful insights for clients.
- Prepare project documentation, status updates, and client ready deliverables highlighting progress, technical findings, and recommendations.
- Present findings and insights to stakeholders in a clear and compelling manner.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field.
- 4+ years' experience in data architecture, data management, or data engineering.
- 2+ years of experience in the financial services or fintech industry.
- Demonstrated proficiency in relevant tools and platforms, including: Programming/Scripting: Python, SQL, R, Java, Scala, etc.; Big Data Tools: Databricks, Snowflake, Apache Spark/Kafka, etc.; Data Management: Collibra, Alation, Informatica, Alteryx, etc.; Predictive Analytics: Python, IBM SPSS, SAS,
- Experience and familiarity with: Banking regulatory reporting tools (e.g., Axiom); Data integration and migration projects in financial services; Data governance best practices, especially in regulatory contexts.
- Strong analytical skills and experience with managing and manipulating large datasets.
- Excellent written and verbal communication skills for presenting complex technical information to both technical and non technical stakeholders.
- Demonstrated ability to solve complex problems in fast paced environments.
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve.
- Limited immigration sponsorship may be available.
Preferred Qualifications
- Master's degree in Computer Science, Information Technology, Information Systems, or business related field.
- Related certifications such as PMP, AWS/Azure/GCP Cloud Certification, or CDMP.
- 3+ years of experience in the financial services or technology industry.
Compensation
- A reasonable estimate of the current range is $116,200 to $229,100.
- You may also be eligible to participate in a discretionary annual incentive program.
The team
- Our Regulatory & Financial Risk offering supports clients' business priorities, balancing risk and regulatory requirements with enhancing business value and optimizing outcomes.
- We deliver enhanced value through strategic transformation, end to end implementation, and focus on business as usual sustainability across processes, controls, and data & analytics infrastructure.
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