Truist Director Risk Intelligence Engine & Reporting 

United States, North Carolina, Charlotte 

915954865

Regular or Temporary:

English (Required)

1st shift (United States of America)
Please review the following job description:

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

2. Lead the integration of existing reporting from multiple sources and risk programs into a comprehensive and cohesive enterprise-wide view of Truist's risk profile, consistent with the Risk Measurement Program's standards and requirements.

3. Develop early-warning risk reports for senior leadership, providing forward-looking insights on emerging risk trends and potential mitigants based on data-driven analytics.

4. Set strategy on how new metrics (performance and risk) are being incorporated into risk engine.

5. Translate complex risk data into clear, concise, and actionable insights.

6. Leverage analytical tools and methodologies to support analysis of internal and external risk metrics. Leverage automation and standardization of risk reporting processes to improve efficiency and accuracy.

7. Oversee the development and enhancement of risk dashboards and key risk and performance indicators that support decision making. Provide input into KRI warning and limit threshold development and rationalization.

8. Enable the ability to provide real-time risk insights to senior management and the Board to support ad hoc requests and swift decision making.

9. Ensure reporting, insights, dashboards, and risk metrics align with regulatory expectations, board requirements, and senior management's needs. Partner with audit, compliance, and regulatory teams to address risk reporting expectations and requests.

10. Strong partnership with Enterprise Data Analytics, Divisional Chief Information Offices, Business leaders and risk type owners to ensure the accuracy of metric methodologies.

12. Maintain strong data governance practices to ensure integrity and accuracy of risk reporting.

13. Work cross-functionally with risk programs and corporate functions (i.e., EDA, Finance, HR, and IT) to enhance reporting capabilities and increase visibility.

14. Serve as a key liaison with regulators and external auditors on risk reporting matters, ad hoc requests, and examination support.

Required Qualifications:

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Ten years of risk management experience in a highly regulated industry, with a proven ability to identify, assess, and mitigate financial and non-financial risks.

2. Strong understanding of regulatory risk management expectations (e.g., Heightened Standards) and Enterprise Risk Management frameworks.

3. Experience leading senior-level teams both directly and influencing in a matrix environment; experience in the development of risk reporting and risk reporting strategies.

4. Bachelor’s degree in economics, Finance, Data Science, Information Systems, Business or related discipline, or equivalent education and related training.

5. In-depth understanding of risks and risk management processes at large financial institutions and the role and importance of risk reporting.

6. Experience translating complex data into actionable insights and effectively communicating findings to senior executives, regulators, and business stakeholders.

7. Strong knowledge of banking regulations and reporting requirements, including Basel III, CECL, CCAR, Dodd-Frank, and FDIC/OCC guidelines.

8. Proven ability to develop and enhance risk reporting processes that meet regulatory expectations, support audits and examinations, and ensure transparency in risk disclosures.

9. Plan, implement and monitor a risk reporting process and execute on it with an emphasis on achieving and measuring results.

10. Quickly resolve Business needs while serving as an advocate for agility while balancing risk.

Preferred Qualifications:

1. Master’s degree in data science, Computer Science, Information Systems, Mathematics, Business or related discipline.

2. Experience and knowledge of regulatory examination process, banking regulations, and regulatory guidance.

3. Experience in leading Data Offices for Risk or Finance areas.