Language Fluency: English (Required)

Work Shift:

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.

1. Support the Pricing Tech & Strategy team in leveraging data to inform business strategy. Provide research analysis and project management support to meet business and financial objectives.

2. Under direction of the Director of Pricing Tech Data Analytics write pricing tool skills and capabilities to support growth initiatives and operations using VBA/Excel coding skills and/or Typescript.

3. Leverage data to identify areas of opportunity processes and improvements in the business including recommend and execute pricing strategies for Truist.

4. Identify ways to do things better and achieve better business outcomes work collaboratively within a team of outspoken people.

5. Work with cross-functional leadership to understand business needs and solve complex problems.

6. Assist with creation and usable insights for competitive intelligence and market data including: loan rate surveys data consortiums market share data website surveys and reviews and create change summaries.

7. Manage pricing and profitability models and methodologies to assist with segment pricing capabilities. Guides product and portfolio profitability (loan pricing relationship profitability or valuation models tools and/or calculators data sets etc.).

8. Gather data and perform analytics to properly back test and validate models and documents assumptions that provide the basis for pricing and profitability and implement model documentation monitoring & back testing routines.

9. Prepare and analyze product pricing and program financials and develop executive-level management presentations business reviews key findings and recommendations.

10. Provide insights and ad hoc reporting for production and portfolios for the Commercial Community Bank and Private Wealth related to pricing performance pipeline originations existing portfolio relevant key performance and value creation metrics.

Level 1:

Qualifications

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. Two years of experience with data analytics Excel/VBA or Typescript development for a fintech bank or other revenue-producing company. Equivalent education with coursework (university college or accredited specialty program) may be considered in lieu of work experience.

2. Experience in usage of business intelligence (BI) tools SAS and/or SQL and managing big datasets

3. Expert in Excel programming including VBA

4. Experience with Typescript

5. Strong execution and delivery skills; ability to translate concepts into concrete analytical and report deliverables establish plans structure and staff develop systems and processes manage execution and work efficiently

6. Strong interpersonal skills and an ability to build relationships display organizational savvy leverage networks and value diversity; drive cross-functional team spread across the enterprise

degree in business management statistics business or marketing analytics mathematics finance data science or other quantitative field or equivalent education and related training.

8. Clear communication skills; ability to speak effectively foster open communication listen to others and deliver presentations including persistence and ability to negotiate with and influence senior leadership decisions.

Preferred Qualifications:

1. Banking credit product knowledge from a product sales risk and/or operational perspective in Commercial Lending and/or Capital Markets

2. Knowledge of theoretical and practical accounting and finance concepts and techniques (cash flow models ROE economic capital funds transfer pricing etc.) including the ability to perform the mathematical calculations develop models tools and methodologies which replicate financial mathematics of various financial instruments.

3. Experience in commercial banking

Level 2:

Qualifications

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. Three or more years of experience in business analyst pricing analytics product ownership or coverage-supporting roles within Consumer and/or Wholesale Banking.

2. Bachelors degree in business management statistics business or marketing analytics finance data science or related fields; or equivalent education and training.

3. Comprehension of banking products and coverage models including Wholesale and Consumer Banking Payments Lending and requisite client experiences thereof.

4. Strong project management PowerPoint and related skills.

5. Sound presentation skills and ability to translate metrics into understandable business insights.

6. Advanced Excel and macros skills.

7. Strong interpersonal skills and an ability to build relationships display organizational savvy leverage networks and value diversity; drive cross-functional team spread across the enterprise.

8. Demonstrated ability to be flexible and adaptive in a fast-paced and dynamic work environment.

Preferred Qualifications:

1. Three or more years in a Corporate Treasury commercial loan pricing analytics or performance management role.

2. Comprehension of finance pricing and treasury concepts such as FTP and marginal funding curve liquidity premiums yields spreads return metrics and underwriting concepts (Risk-Adjusted returns PD LGD EL).

3. Experience in managing complex data sets and the usage of data tools such as Snowflake SAS SQL Python and Business Intelligence (BI) tools such as Tableau and QlikSense.

4. Prior knowledge of performance profitability and pricing reporting and metrics.

5. Financial systems experience such as SAP or Oracle financials.