Director, Quantitative Analytics

The Director of Quantitative Analytics will lead the development, enhancement, validation, and governance of Black Book's quantitative models, analytical methodologies, and data-driven valuation solutions across North America. The role will strengthen the connection between statistical science, market data, expert valuation knowledge, and client needs to ensure that Black Book's outputs are accurate, explainable, scalable, and commercially relevant.

This leader will work across Data Science, Product, Editorial, Market Insights, and Commercial teams. The position is accountable for establishing disciplined model lifecycle practices, improving analytical depth, developing team capability, and translating complex analysis into clear recommendations for executives, clients, and industry stakeholders.

The Black Book Approach

Black Book combines proprietary market data, predictive modelling, analyst and editorial expertise, and ongoing market observation to produce trusted vehicle values and forward-looking forecasts. The Director will help ensure that the science and the professional judgement behind each valuation are integrated through a transparent, documented, and repeatable process.

Qualifications and Experience

- 10+ years in quantitative modeling, forecasting, or asset valuation, with 4+ years leading technical teams.
- Advanced degree in Statistics, Mathematics, Economics, Data Science, Actuarial Science, Engineering, Finance, or a related quantitative discipline.
- Significant experience leading quantitative analysis, statistical modelling, forecasting, data science, valuation, risk, or financial analytics in a data-intensive environment.
- Demonstrated experience managing and developing analytical or quantitative professionals.
- Expert knowledge of predictive modelling, regression, machine learning, forecasting, model validation, performance monitoring, and statistical analysis.
- Experience working with large, complex, and longitudinal datasets, including data preparation, feature development, data quality assessment, and reproducible analytical workflows.
- Fluency in tools and programming languages such as Python, R, SQL, or equivalent technologies.
- Experience establishing model governance, documentation, controls, validation, auditability, and change-management practices.
- Strong written and verbal communication skills, with the ability to explain technical concepts, assumptions, limitations, and recommendations to non-technical audiences.
- Experience in automotive, financial services, credit risk, asset valuation, insurance, economics, or another industry involving forecasting and market-sensitive decisions is preferred.
- Demonstrated experience with model risk management and governance standards (e.g., SR 11-7 or equivalent) in a regulated or client-audited environment.

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Leadership Capabilities

- Combines technical depth with sound business judgement and a clear understanding of client and commercial requirements.
- Creates accountability for analytical quality, documentation, deadlines, and follow-through across functions.
- Builds trust through transparency, evidence-based recommendations, and clear communication of uncertainty and limitations.
- Can operate strategically while remaining close enough to the work to challenge assumptions and resolve complex issues.
- Develops talent, raises analytical standards, and builds a sustainable bench of quantitative expertise.
- Works effectively across Canadian and U.S. teams while respecting differences in market conditions, data, methodology, and operating processes.

Measures of Success

- Improved accuracy, stability, responsiveness, and explainability of Black Book models and valuation outputs.
- A consistent and auditable model governance framework adopted across relevant quantitative and valuation processes.
- Clear documentation of model assumptions, data sources, methodologies, limitations, approvals, and performance results.
- Greater confidence among clients and internal stakeholders in Black Book's valuation and analytical capabilities.
- Timely delivery of high-quality forecasting, portfolio, market, and client-specific analytical solutions.
- Improved collaboration between Data Science, Residual Values, Product, Engineering, Data Operations, Market Insights, and Commercial teams.
- A stronger quantitative team with defined standards, effective coaching, and succession depth.

Working Relationships

The Director of Quantitative Analysis will work closely with senior leadership and cross-functional partners across Data Science, Editorial, Product, Data Operations, Market Insights, and Sales. The role will also engage directly with clients and industry stakeholders when quantitative methodologies, valuation outputs, market conditions, or analytical recommendations require explanation and discussion.

Role Purpose

This role is central to strengthening Black Book's analytical foundation and reinforcing the credibility of its valuation and forecasting solutions. The successful candidate will help Black Book scale its quantitative capabilities while preserving the combination of rigorous data science, market understanding, and expert judgement that clients rely on.