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Executive Quantitative Modeling Jobs in California

Overview AfterQuery is hiring a Business Operations Generalist to work directly with the CEO and ... quantitative modeling, and hands-on execution. No task is out of scope. Your job is not to flag ...

SVP, Corporate Strategy

Los Angeles, CA ยท On-site

$400K - $430K/yr

The Corporate Strategy team supports Paramount's CEO, CFO, CSO, Senior Leadership Team, and Board ... Develop quantitative modeling approaches and work with team members to develop analytical models to ...

SVP, Corporate Strategy

Los Angeles, CA ยท On-site

$400K - $430K/yr

The Corporate Strategy team supports Paramount's CEO, CFO, CSO, Senior Leadership Team, and Board ... Develop quantitative modeling approaches and work with team members to develop analytical models to ...

Apply data analytics, quantitative modeling, and rules-based approaches to generate insights across ... Deloitte's Finance Transformation team advises CFOs, controllers, and finance executives on how to ...

Apply data analytics, quantitative modeling, and rules-based approaches to generate insights across ... Deloitte's Finance Transformation team advises CFOs, controllers, and finance executives on how to ...

Showing results 41-60

Executive Quantitative Modeling information

What is executive quantitative modeling?

Executive quantitative modeling is a high-level role that involves developing, overseeing, and interpreting complex mathematical and statistical models to inform business strategies and decision-making. Professionals in this position typically lead teams that create models for risk assessment, financial forecasting, portfolio management, or pricing strategies. They work closely with senior executives to translate quantitative insights into actionable business plans. This role requires deep expertise in mathematical modeling, data analysis, and proficiency with advanced analytics tools and programming languages.

What are the key skills and qualifications needed to thrive as an executive in quantitative modeling?

To excel as an Executive in Quantitative Modeling, you need advanced expertise in mathematical modeling, statistical analysis, and financial theory, typically supported by a graduate degree in a quantitative discipline such as mathematics, statistics, finance, or engineering. Proficiency with programming languages (like Python, R, or MATLAB), data analytics platforms, and experience with industry-standard risk management or financial modeling systems is highly valued. Leadership, strategic thinking, and strong communication skills set outstanding executives apart by enabling them to guide teams and translate complex models into actionable business insights. These capabilities are crucial for driving data-driven decision-making and maintaining a competitive edge in complex financial environments.

What are some common challenges faced by professionals in executive quantitative modeling roles and how are they typically addressed?

Professionals in Executive Quantitative Modeling roles often face the challenge of translating complex quantitative models into actionable insights for stakeholders who may not have technical backgrounds. Balancing model sophistication with interpretability is key, as is ensuring data quality and regulatory compliance. Collaboration with cross-functional teams, such as IT, risk, and business units, is essential to integrate models into business processes and to gain buy-in from decision-makers. Regular communication, thorough documentation, and ongoing validation of model performance help address these challenges effectively.

What is the difference between Executive Quantitative Modeling vs Quantitative Analyst?

AspectExecutive Quantitative ModelingQuantitative Analyst
CredentialsAdvanced degrees (MBA, PhD), certifications like CFA or FRMBachelor's or Master's in Finance, Mathematics, or related fields
Work EnvironmentStrategic decision-making, senior management meetingsData analysis, model development, reporting
Industry UsageFinancial institutions, hedge funds, asset managementInvestment banks, asset managers, financial firms

Executive Quantitative Modeling professionals focus on high-level strategic models and decision-making, often working with senior leadership. Quantitative Analysts typically handle data analysis, model building, and implementation at a more technical level. Both roles require strong quantitative skills, but differ in scope and responsibilities.

What are the most commonly searched types of Quantitative Modeling jobs in California?

The most popular types of Quantitative Modeling jobs in California are:

What cities in California are hiring for Executive Quantitative Modeling jobs?

Cities in California with the most Executive Quantitative Modeling job openings:

Infographic showing various Executive Quantitative Modeling job openings in California as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 5% Part Time, and 4% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Director, Strategic Business Operations (BizOps)

Substack

San Francisco, CA โ€ข On-site

$250/hr

Other

Re-posted 9 days ago


Job description

Substack is building a new economic engine for culture, giving the brightest, most interesting, and most creative people on the internet the power of their own publishing platform. Substack empowers independent writers, artists, videographers, podcasters, and creators of all types to create, share, and make a living off their work through subscriptions, while offering them creative freedom, ownership, and a direct connection to their audiences.

We are looking for an exceptional, high-leverage Business Operations leader to serve as a strategic co-pilot to our CEO and CFO.

This is not a pure strategy seat, a deck-building role, or traditional corporate management. We are looking for an "athlete": someone with elite analytical rigor, a first-principles mindset, and the hands-on drive to build data pipelines, run complex business analyses, and personally execute high-stakes initiatives across the company.

You will sit at the center of Substackโ€™s businessโ€”identifying bottlenecks, uncovering growth drivers, optimizing creator and reader economics, and building the operating infrastructure that scales our business.

At Substack, youโ€™ll work directly alongside our founders and executive leadership team to shape the future of independent publishing and media. Youโ€™ll have a front-row seatโ€”and a handsโ€‘on steering wheelโ€”in scaling the business.

Responsibilities
  • Strategic & Operational Execution: Uncover, prioritize, and drive the businessโ€™s highest-impact initiatives across product, growth, pricing, and creator economics.

  • Data-Driven Business Insights: Get hands-on keyboard with our data. Perform deep-dive analyses on core metrics (e.g., creator churn, reader LTV, network monetization, conversion funnels) to guide product and monetization decisions.

  • External & Market Intelligence: Conduct rigorous competitive analysis, market mapping, and strategic positioning to evaluate new opportunities, industry shifts, and expansion vectors.

  • Executive Decision Support: Partner directly with the CEO and CFO to translate complex operational data into clear, actionable executive decisions and board-level strategy.

  • Management Infrastructure: Design and run our business cadenceโ€”KPI tracking, operational reviews, cross-functional alignment, and objective-settingโ€”keeping the executive team in sync and operating with discipline.

  • Team Building & Leadership: Lead and mentor a lean team of operators as Substack scales, while remaining willing and eager to do the frontline analytical work yourself.

About You
  • Elite Foundation: 5โ€“10 years of total work experience, including foundational years at a top-tier management consulting firm (McKinsey, Bain, BCG) or investment bank (Morgan Stanley, Goldman Sachs), followed by high-impact BizOps/Strategy experience at a fast-growing tech company. Top-tier undergraduate or MBA (HBS, Stanford, Wharton, etc.) preferred.

  • Hands-on Analytics: Highly comfortable with quantitative modeling and data manipulation (advanced SQL, Excel/financial modeling, Python/R a plus). You donโ€™t ask a team to pull numbers for youโ€”you dig into the database yourself.

  • First-Principles Problem Solver: You break down complex, messy problems into clear hypotheses and actionable frameworks before writing code or pulling data.

  • Bias for Action & Execution: You don't stop at giving recommendations or making slides. You own implementation end-to-end, rolling up your sleeves to change operational realities.

  • Low Ego, High Ownership: You act like an owner. You care deeply about solving the right problems for creators and readers, regardless of whether a task falls neatly into your job description.

  • Executive-Level Communication: Concise, direct, and persuasiveโ€”able to influence senior executives, engineers, and creative partners alike without relying on corporate jargon.

Substackโ€™s compensation package includes a market-competitive salary, equity for all full-time roles, and exceptional benefits. Our cash compensation salary range for this role is $200,000 - $300,000. Multiple factors, including candidate experience and expertise, determine final offer amounts and may vary from the amounts listed above.

Substack is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity or transgender status), age, national origin, veteran or disability status. Weโ€™re seeking people passionate about enabling independent expression and building a better business model for creators. If you want to see what media, communities, and content can become when unmoored from advertising models, and you have the skills and experience to contribute, weโ€™d love to meet you.

Please see our Privacy Notice for details regarding Substack's collection and use of personal information relating to the application and recruitment process by clicking here.

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