About The Position

The candidate will collaborate with business stakeholders to evaluate and determine business needs for enhanced risk information. They will assist in defining system improvements to address business, operational, and management requirements. The candidate’s responsibilities include requirement analysis, data analysis, solution design and documentation, and overseeing the development and implementation of system enhancements. The individual should be proactive, demonstrate initiative and sound judgment, be a team leader, have a willingness to learn, and focus on customer needs.

Requirements

  • 8–10+ years of progressive experience in business intelligence, analytics, risk reporting, portfolio analytics, or data management within the financial services industry.
  • Undergraduate degree in Business, Finance, Economics, Mathematics, Statistics, Computer Science, Engineering, or a related discipline.
  • Ability to lead multiple projects, coordinate activities with various stakeholders in a timely, organized manner.
  • Experience in leveraging AI Agents and Machine learning to enhance reporting automation, predictive analytics and risk assessment.
  • Proficiency in SQL, Power BI, Databricks, Microsoft Fabric, Cloud platforms and other tools to develop and optimize Risk Reporting & Analytics solutions.
  • Strong understanding of relational databases, data structures, and query optimization, with the ability to work with large datasets and troubleshoot data issues.
  • Design, build, and optimize data pipelines using Power BI Premium, MS Fabric, and/or Databricks.
  • Develop scalable semantic models, star schemas, and tabular models for enterprise analytics.
  • Strong ability to analyze complex business requirements and translate them into efficient reporting and analytical solutions.
  • Capability to understand new concepts, tools, and technologies efficiently, with a willingness to learn and adapting in a dynamic environment

Nice To Haves

  • Postgraduate degree (MBA, Master’s in Analytics, Finance, Data Science, or related field) is considered an asset.

Responsibilities

  • Work with the Director and leadership team to create strategic opportunities for new solutions or improvements.
  • Assessing data and risk management for new Analytics & Reporting solutions based on evolving business needs and requirements.
  • Leading initiatives to improve analytical programs, efficiencies, analysis, report generation times, and migration to common platforms.
  • Capable of analyzing intricate business problems and issues by utilizing data from both internal and external sources to provide valuable insights to decision-makers. Identifies and interprets trends and patterns within datasets to determine root causes and drivers.
  • Facilitates storytelling to ensure that insights are conveyed in a meaningful and relevant manner to key partners and stakeholders.
  • Innovate to streamline processes and enhance effectiveness.
  • Collaborate with business partners, data engineers, risk analysts, and architecture teams to define requirements and deliver analytical solutions.
  • Recommend solutions and takes a design focus when planning end-to-end build of processes and/or programs (based on business needs), ensuring compliance with Business Intelligence framework and methodology.
  • Oversee testing enhancements / changes to existing data sources and identifying, monitoring and communicating data quality issues.
  • Proficient in project management, able to manage timelines and deliverables to align with team objectives. Capable of handling multiple projects and activities in an organized and timely manner.
  • Enhance self-service reporting capabilities while maintaining strong governance, data integrity, and controls

Benefits

  • A competitive compensation and benefits package.
  • An organization committed to making a difference in our communities– for you and our customers.
  • We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
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