Head of Quantitative Business Solutions

Head Of Quantitative Business Solutions

The Head Of Quantitative Business Solutions is a senior executive responsible for translating advanced quantitative methodologies into scalable, production-ready solutions that directly support the bank's core client facing business lines, including consumer, small business, wealth, and wholesale. This role serves as a critical bridge between quantitative research and development, technology, and business stakeholders, ensuring that analytical models, optimization tools, and decision engines are effectively embedded into frontline processes. The position oversees the design, delivery, monitoring, and continuous improvement of end-to-end quantitative solutions, with a focus on enhancing risk-adjusted returns, credit extension, operational efficiency, and customer outcomes, while maintaining alignment with regulatory expectations and model risk management standards. In addition, the Head Of Quantitative Business Solutions leads an organization of quantitative professionals to industrialize models and analytics, ensuring robustness, scalability, and proper governance throughout the model lifecycle. The role partners closely with business executives, risk management, and technology leadership to prioritize initiatives, allocate resources, and drive strategic transformation, delivery, and decisioning related. A key mandate includes establishing best practices for model integration, monitoring, and performance measurement, while fostering innovation through the adoption of advanced analytics and machine learning techniques in a controlled and compliant manner and effective model risk mitigation.

Essential Duties And Responsibilities

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. Set model development strategy and priorities across in-scope major client facing business line portfolios, aligning investment and sequencing to business strategy, risk appetite, and regulatory expectations.

2. Own executive accountability for model development delivery across multiple teams/leaders, including scope, resourcing, quality, and timelines for new builds, redevelopments, and material changes across the inventory.

3. Ensure consistent application of required controls and procedures across model tiers and portfolios.

4. Establish/lead a high-performing organization of quantitative professionals, including hiring, succession planning, performance standards, and capability building to sustain leading model development practices.

5. Scale model development infrastructure and operating model, including leading tooling (languages, platforms, etc.), development libraries, reusable components, governance routines, and transparent reporting that improves throughput while strengthening controls.

6. Drive model opportunity intake and portfolio shaping with lines of business and functions, helping stakeholders identify viable modeling opportunities, define business objectives, clarify intended use, and set effective implementation pathways and sustainability plans.

7. Lead senior engagement with Model Risk Oversight, Audit, and regulators, including executive-level responses, governance presentations, and remediation planning, representing model development positions with clarity, credibility, and strong evidentiary support.

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. Master's degree in Statistics, Econometrics, Applied Mathematics, Operations Research, Data Science, Engineering, Computer Science, or other applied quantitative science (or equivalent education and related training).

2. Twelve (12) years of relevant experience in a quantitative function in a financial services setting (or equivalent regulated industry experience).

3. Seven (7) years of leadership experience, setting performance standards, and driving deliverables across multiple teams.

4. Deep expertise across in quantitative model development, model lifecycle management, and/or model risk management.

5. Demonstrated success leading large-scale, high-impact programs, including work involving complex portfolios, cross-functional stakeholders, and risk/regulatory scrutiny.

6. Demonstrated senior-level experience partnering with oversight partners, auditors, and/or regulators, including the ability to communicate complex quantitative topics in clear executive language.

7. Strong executive communication skills, including the ability to influence senior leaders, explain complex quantitative topics, and represent the function credibly with risk, audit, and regulatory stakeholders.

Preferred Qualifications:

1. PhD in a quantitative discipline (e.g., Statistics, Mathematics, Econometrics, Engineering, etc).

2. Experience managing major model portfolios tied to regulatory expectations (e.g., stress testing, allowance/credit loss, capital/liquidity/market risk, fraud/financial crimes, compliance).

3. Professional credentials such as FRM/CFA/CQF or equivalent advanced training, and strong modern programming/data skills (e.g., Python/R/SQL) sufficient to set technical direction and standards (not necessarily as a daily individual contributor).