Truist Quantitative Operations Manager 

United States, Georgia, Atlanta 

447960483

Regular or Temporary:

English (Required)

1st shift (United States of America)

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.
1. Lead efforts to obtain and analyze data to support implementation of models. Provide subject matter expertise regarding data sources and systems by maintaining knowledge both systems and underlying business processes.
2. Guide IT partners in establishing requirements for model implementations and systems testing. Provide support in sharing application ownership responsibilities on behalf of businesses.
3. Consult with lines of business on use of models on supported applications and advise on associated controls.
4. Anticipate potential issues with model use as conditions change.
5. Ensure model governance responsibilities are executed as required by Model Risk Management, SR 11-7, and similar regulatory guidance on behalf of model owners. Assist lines of business and Model Development with model implementation, ongoing monitoring, Audit, and regulatory exams.
6. Partner with ongoing monitoring report creation teams to establish requirements for reports and evaluate data quality with benchmarks.
7. Lead various initiatives within Model Development Operations, including engagement with senior management, IT, governance and other business partners. Responsible for fully leading efforts including, coordination of efforts, project plans, presenting and communicating project status to senior leadership.
8. Lead efforts to author model implementation plans in partnership with model owners, model developers and business partners.
9. Continuously broaden and deepen expertise in quantitative analytical methods via self-directed research and training.
10. Partner with Head of Model Development Operations to recruit, manage, and retain the necessary talent and skillsets.

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. MBA or Master's degree in a quantitative field such as Economics, Quantitative Finance, Computer Science, MIS, Operations Research, or Statistics plus 5 years of experience developing, implementing, running, and/or applying risk models for decision making.
2. 5 years of experience managing teams or initiatives that include testing support, training, governance, and user support for credit risk platforms and models.
3. Demonstrated proficiency in communicating with upper management, regulators and governance groups; leading cross-functional teams; managing projects; managing operational risk of production processes; securing agreements with vendors; and implementing models in production systems.

1. 8 years of experience managing development, implementation, production processing, or business use of credit risk models for a financial institution.
2. Experience working with multiple loan origination and servicing platforms with an understanding of how credit risk models are implemented or leveraged for business use.
3. Experience evaluating credit risk scorecard implementation and use from technical and business perspectives.
4. 3 years of experience performing ongoing monitoring activities for models in production.
5. Familiarity with commercial underwriting process, account management process, and collections processes.
6. Strong soft skills to build trust with business partners, effectively communicate with technical and non-technical audiences, and promote appropriate governance around model use.
7. Familiarity with software development life cycle components including experience supervising testing efforts including smoke testing, SIT, and UAT.
8. Demonstrated proficiency with SAS, Python, R, Excel/VBA, MS Project, Visio, and the full suite of MS Office software. Experience with SQL and a business intelligence tool (e.g., Qlikview, Tableau, Microstrategy).
9. Familiarity with Truist businesses, systems, and data.