Director – PPNR and Balance Sheet Model Development I

Director – PPNR and Balance Sheet Model Development I

Requirements

• 7+ years’ experience in financial services industry with focus on model development and quantitative analytics.
• Master’s degree in Statistics, Econometrics, Actuarial Science, Applied Mathematics, Operations Research, or other applied quantitative science, or equivalent education and related training
• Econometric/statistical and analytical modeling. Retail, wholesale credit risk, mortgage prepayment models and/or complex discounted cash flow models
• Analysis techniques of complex financial services data, including programming and computational techniques for large data sets and quantitative analyses
• Statistical techniques for analyzing financial data including: sampling, optimization, logistic regression, linear regression, decision tree analysis, and cluster analysis
• Model documentation and/or model validation report writing
• Visualization techniques for summarizing complex financial data analysis
• Utilizing SAS or R software, Excel/VBA, SQL, and other programming languages and applications
• Broad range of model development, model testing, model documentation, and/or model validation tasks as well as performing associated data analysis and manipulation
• Performing statistical model development, estimation, testing, and implementation. Also requires the utilization of time series regression models, macroeconomic forecasting / scenario generation models as well as other statistical and non-statistical models
• Utilizing verbal and written communication skills to interface effectively with internal stakeholders to include identifying and addressing internal client needs, which include building services, approaching internal clients in an organized manner, and delivering findings clearly
• Demonstrate flexibility in prioritizing and handling multiple tasks as well as utilizing problem-solving skills, communicating effectively in written and verbal formats to various audiences (including various levels of management) in a professional business environment

Responsibilities

• Responsible for the PPNR and Balance sheet area of excellence within Financial Management Quantitative Analytics. The incumbent is accountable for their respective area of excellence including active engagement in CCAR, internal stress testing, capital planning, NII forecasting, ALM, EVE, and those associated models and qualitative methodologies. The incumbent ensures models and end-to-end processes are efficient, effective, and meeting internal and external expectations. The incumbent develops relationships and works closely with Model Risk Management, Internal and External Audit, and Regulators to ensure favorable assurance outcomes.
• Contribute to a positive and highly engaged team by championing a positive working environment through relationship development with peers, direct reports, and leadership – proactively seek guidance, clarification, and feedback.
• Manage a team of highly skilled quantitative problem solvers, helping to solve complex business problems from strategy to execution as well as coaching teammates and encouraging them to take ownership of their development.
• Act to resolve issues which prevent effective team working, even during times of change and uncertainty.
• Address sub-standard work or work that does not meet Truist’s or internal client expectations
• Recruit and assist in the retention- through contribution to a positive and highly engaged team of quantitative talent.
• Develop relationships and connect models and other quantitative methodologies to business partners and subject matter experts.
• Leverage multiple sources of information including broader stakeholder views to develop solutions and recommendations.
• Translate quantitative complexities into business language to ensure the business partners and senior management understands how the models work including key strengths, limitations, and assumptions to enable robust challenge and appropriate controls.
• Analyze complex ideas or proposals and build a range of meaningful recommendations.

Preferred Qualifications

• Experience with capital stress testing, capital planning, and regulatory deliverables
• Knowledge of US Regulatory Requirements and best practices regarding risk process and risk frameworks including CCAR, DFAST, SR11-7, SR15-18, SR15-19, FASB CECL Guidance, CCAR Summary Instructions and Guidance, and the Capital Planning at Large Bank Holding Companies: Supervisory Expectations and Current Range of Practice
• Knowledge of risk with the ability to engage with data management to source data, identify additional relevant data sources, and apply available data within the context of model development
• Ability to implement a model conceptual design, back-testing strategy, identify theoretical underpinnings and assumptions, and adherence of model to downstream user needs.
• Strong verbal, written, interpersonal, and consultative communication skills with well-developed presentation skills
• Proficiency utilizing Microsoft Office tools to prepare and present analysis
• Advanced skills SAS and SQL (or significant demonstrated experience with alternative quantitative programming languages – R, Matlab, etc.)