Data Insights Manager

1 week ago

Hyderabad, Telangana, India beBeeAnalytics Full time US$ 10,00,000 - US$ 15,00,000

Job Description:

The Enterprise Risk Analytics team is a dynamic group dedicated to providing oversight as 2nd Line of Defense.

The team oversees and manages the Risk Program to support the business in anticipating and addressing risks, issues, and challenges. Results are consistent with the respective strategic uses and complying with related Overall Risk / Risk Testing policies, standards, procedures, and regulations.

This role requires a high level of expertise with data & analytics - minimal technical supervision to effectively contribute to projects.

Key Responsibilities:

  1. Develop, lead, collaborate, manage, communicate, and influence data-driven solutions and results primarily with Compliance, but may support other analytics pillars that include Risk testing, Enterprise Risk, and First Line Process Oversight.
  2. Support High Risk 2LOD functions and activities that include Compliance (i.e., AML/BSA, MLRA), Enterprise Risk RCSA program (i.e., eGRC updates and validation) and Technology (i.e., targeted reviews on key areas that may include AI, Cyber, and Authentication).
  3. Support Risk Testing by providing data-driven insights and solutions to Risk testing managers.
  4. Collaborate and engage with all levels of management, including Senior Leaders across all sites to drive analytics-based process improvements, insights, thought leadership, and actions.
  5. Provide thought leadership to influence leadership across sites to drive analytics-based process improvements, insights, and actions.
  6. Work directly with SVPs and VPs while leading engagements and assessments.
  7. Develop and deliver assessments reviewed annually by regulators, while developing new metrics that drive insight and identify emerging risks, especially in the AML/BSA, SAR filing areas.
  8. Become a data SME and an Analytics Athlete that includes end-to-end functional learning, leveraging most data warehouses and applying the necessary tools for each solution that includes visualization, machine learning, speech analytics, and data mining.
  9. Innovate data-driven solutions independently with enterprise-wide customers across both the first and second lines of defense by leveraging the latest analytical tools and technologies.
  10. Problem-solving through analytics to bring value-add efficiencies to customers that include solutions involving automation, visualization, analytical insight, and machine learning.
  11. Effectively engage with customers to de-risk through analytical oversight and review of end-to-end processes utilizing data and effective challenge to ensure key objectives and risks are accurately connected in a meaningful manner.
  12. Engage in storytelling with the data output that will create a comprehensive view on what the data means, including identified actions.
  13. Interact and present key data-driven updates and key initiatives to stakeholders and regulators.
  14. Participate in the Risk Engagement Strategy process that will develop and drive improvements across the Risk Team.

Required Skills/Knowledge:

  • Bachelor's Degree in any stream with 2 to 4 years of relevant experience and 4 to 6 years of relevant experience in lieu of a degree.
  • Hands-on experience on SAS, SQL, Power Apps, and Tableau.
  • Strong written/oral communication skills.
  • Proven ability to deliver analytical solutions for business problems.

Desired Skills/Knowledge:

  • Credit card analytics experience in the Credit card industry.
  • Exposure to R, Python, and Machine learning tools.

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