Senior Consultant-AI and Data Risk Management
- 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
- Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
- 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, RPL, etc.
- Data Visualization: Tableau, PowerBI, Qlik, etc.
- Data Mining/Data Warehousing: Microsoft SQL Server, Amazon Redshift, Google BigQuery, etc.
- 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
- 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
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