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Executive Quant Jobs in California (NOW HIRING)

Quantitative Developer

San Francisco, CA · On-site

$180K - $280K/yr

You'll work alongside Poesis' Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making.

Build a network of executive relationships across the industry and with key partners and customers ... Experience with quant trading and market microstructure. * Extreme attention to detail and record ...

Aon is looking for a Executive Compensation Consultant for our Rewards Solutions team. Aon ... Strong quantitative background and skill set * Highly proficient in MS Excel and PowerPoint

Account Executive We are looking for a seasoned Account Executive to join our Business Development ... You will apply your strong quantitative skills to analyze priorities, metrics, and demand ...

Account Executive

San Francisco, CA · On-site

$70K - $150K/yr

Account Executive We are looking for a seasoned Account Executive to join our Business Development ... You will apply your strong quantitative skills to analyze priorities, metrics, and demand ...

Executive Services Consultant We have a dynamic opportunity to be the face of CIBT, working as a ... Be evaluated on quantitative metrics including, but not limited to; number of orders completed ...

Enterprise Account Executive We are looking for a seasoned Enterprise Account Executive to join our ... You will apply your strong quantitative skills to analyze priorities, metrics, and demand ...

Enterprise Account Executive We are looking for a seasoned Enterprise Account Executive to join our ... You will apply your strong quantitative skills to analyze priorities, metrics, and demand ...

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Executive Quant information

What is an executive quant?

Executive Quants are highly skilled professionals who apply advanced quantitative and analytical techniques to inform high-level business and financial decisions within an organization. They leverage their expertise in mathematics, statistics, and computer science to develop models, assess risks, and guide executive strategy, often in investment banks, hedge funds, or financial institutions. Unlike traditional quants who primarily build and test models, Executive Quants typically have leadership responsibilities, manage quant teams, and communicate complex findings to non-technical stakeholders to drive organizational growth.

Is an executive quant a high demand job?

An executive quant is a specialized role in finance that involves developing advanced mathematical models for trading and risk management. The demand for executive quants remains strong in financial firms, hedge funds, and investment banks due to their critical role in data analysis and algorithm development, especially for firms focusing on quantitative strategies. However, competition is high, and strong technical skills in programming, statistics, and finance are essential.

What are the key skills and qualifications needed to thrive as an executive quant, and why are they important?

To thrive as an Executive Quant, you need advanced quantitative analysis skills, a strong background in mathematics, statistics, or finance, and typically a graduate degree such as a PhD or Master's in a related field. Expertise with programming languages like Python, R, or C++, as well as familiarity with financial modeling platforms and statistical software, is crucial. Exceptional problem-solving abilities, leadership, and effective communication are important soft skills for guiding teams and presenting complex ideas to stakeholders. These skills ensure accurate financial modeling, strategic decision-making, and the ability to lead high-impact quantitative initiatives in a competitive financial environment.

What is the difference between Executive Quant vs Quantitative Analyst?

AspectExecutive QuantQuantitative Analyst
Required CredentialsAdvanced degrees (PhD, Master's), strong programming and statistical skillsBachelor's or Master's in finance, mathematics, or related fields; programming skills beneficial
Work EnvironmentStrategic roles, often involved in high-level decision making, collaboration with senior managementAnalytical tasks, model development, data analysis within finance teams
Employer & Industry UsageFinancial institutions, hedge funds, asset management firms, often in leadership or specialized rolesInvestment banks, asset managers, hedge funds, focused on data-driven analysis

Executive Quants typically hold advanced degrees and engage in strategic, high-level decision-making within financial firms. Quantitative Analysts focus more on data analysis and model development. While both roles require strong technical skills, Executive Quants often operate at a senior level, influencing company strategies, whereas Quants are more involved in day-to-day analytical tasks.

How does an executive quant typically collaborate with other departments to drive business strategy?

An Executive Quant often works closely with departments such as trading, risk management, and technology to ensure that quantitative models align with the firm's overall business strategy. They provide data-driven insights that inform high-level decision making, and frequently present complex analyses to non-technical stakeholders. This collaboration not only helps optimize portfolio performance but also ensures that regulatory and risk considerations are integrated into modeling approaches. Strong communication and leadership skills are essential, as Executive Quants often lead cross-functional teams and mentor junior quants.
What are the most commonly searched types of Quant jobs in California? The most popular types of Quant jobs in California are:
What cities in California are hiring for Executive Quant jobs? Cities in California with the most Executive Quant job openings:

Quantitative Developer

Poesis

San Francisco, CA • On-site

$180K - $280K/yr

Full-time

Medical, Dental, Vision

Re-posted 19 days ago


Job description

About Poesis
Whoever builds the leading intelligence for finance will create far more than returns. Poesis is the AI-native investment firm running autonomous agents that predict markets, construct portfolios, and manage risk. Our founders managed institutional capital at Capital Group ($3T AUM) and led enterprise ML at Goldman Sachs and Amazon. We're building a new type of firm, where live capital is the training ground for an intelligence that compounds with every signal.
About the Role
We're hiring a Quantitative Developer to help turn research ideas into production-grade code. You'll help build data pipelines, implement models and ensure results are clean, reproducible and explainable. You'll work alongside Poesis' Chief Scientist, CEO and engineering leadership to turn large-scale data and quantitative research into models, signals and tools that drive investment decision-making.
Responsibilities
  • Rapidly implement and iterate on research ideas and model prototypes.
  • Clean, process, and join financial and fundamental datasets from professional and public sources.
  • Build and maintain processes for feature generation, back-testing, and model evaluation.
  • Run experiments, summarize results, and report findings to leadership.
  • Contribute to code quality: testing, documentation, and integration into shared systems.
  • Support the team in defining data schemas, APIs, and reproducibility standards.
  • Implement, test, and refine models, signals, and analytical workflows.
  • Maintain a consistent cadence of deliverables, focusing on iteration speed and reliability.

Required Competencies
  • 3+ years of professional experience building the model infrastructure, data pipelines, and analytical tools to drive trading strategies
  • Strong Python skills (pandas, numpy, scipy, matplotlib); comfort with SQL.
  • Skill working with Claude Code, Codex, or other coding agents.
  • Proficiency working with real-world financial datasets and building reproducible analyses or pipelines.
  • Understanding of statistics, regression, optimization, and ML fundamentals.
  • Clear communicator who can explain technical findings to non-specialists.
  • BS/MS/PhD in Computer Science, Mathematics, Statistics, Physics, Finance or related quantitative field.

Preferred Competencies
  • Prior full-time experience in finance, data science, or ML engineering.
  • Familiarity with APIs from Bloomberg, CapIQ, FactSet, or Refinitiv.
  • Exposure to portfolio optimization, risk modeling, or financial time-series.
  • Skill with git, Docker, and modern orchestration tools (Prefect, Airflow, etc.).
  • Early-stage startup experience or demonstrated builder mindset.

Location
Hybrid: 3 days per week on-site at our office in Menlo Park, CA. Relocation allowance available.
Benefits
We offer excellent medical, dental, and vision coverage, alongside a strong benefits package that includes catered lunches in our Menlo Park office, commuter benefits, and more.
Current legal authorization to work in the US required; continuing work visa sponsorship available for full-time employees.
Working at Poesis
As an early team member, you'll help shape not just the product, but how the company operates. Your decisions will have lasting impact across the business. You'll build from first principles, with no legacy systems, or entrenched processes slowing you down. Our team is made up of people from elite companies and universities who are low ego, collaborative, and excited to build together.