Senior Consultant

Senior Consultant role focused on AI & Data Risk Management within the Financial Services industry. Responsibilities include delivering data-driven solutions, integrating technologies like ML and GenAI, developing data pipelines, and conducting technical analysis. Requires experience in data architecture, management, or engineering, with a strong background in financial services or fintech.

What you'd actually do

  1. Serve as a key contributor on multi-disciplinary teams, collaborating closely with managers and client stakeholders to deliver high-quality data and analytics engagements
  2. Guide and mentor junior team members, providing direction on project tasks and supporting skill development
  3. Assist in the design, implementation, and optimization of data management solutions — this includes data architecture, platforms, governance, quality, and security initiatives
  4. Support the integration of next-generation technologies such as cloud platforms, machine learning, and Generative AI (GenAI) within client solutions and project deliverables
  5. Conduct technical analysis, develop data pipelines, and contribute to technical reviews for solutions built by the team

Skills

Required

  • Python
  • SQL
  • R
  • Java
  • Scala
  • Databricks
  • Snowflake
  • Apache Spark
  • Kafka
  • Collibra
  • Alation
  • Informatica
  • Alteryx
  • IBM SPSS
  • SAS
  • RPL
  • Tableau
  • PowerBI
  • Qlik
  • Microsoft SQL Server
  • Amazon Redshift
  • Google BigQuery
  • Banking regulatory reporting tools
  • Data integration and migration projects in financial services
  • Data governance best practices
  • managing and manipulating large datasets

Nice to have

  • PMP
  • AWS/Azure/GCP Cloud Certification
  • CDMP

What the JD emphasized

  • financial services
  • fintech
  • data management solutions
  • data pipelines
  • technical analysis

Other signals

  • 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