ZipRecruiter

Log In

1

Quant Strategist Jobs (NOW HIRING)

US Bank

Quantitative Strategist - Commodities

New York, NY

$132K - $171K/yr

The Quantitative Strategist is a front-office quantitative professional responsible for supporting the design, development, and implementation of pricing, risk, and analytics models with a focus on ...

US Bank

Quantitative Strategist - Commodities

Charlotte, NC · On-site

$118K - $153K/yr

The Quantitative Strategist is a front-office quantitative professional responsible for supporting the design, development, and implementation of pricing, risk, and analytics models with a focus on ...

SaltHill Group

Commodity Quantitative Strategist

Greenwich, CT · On-site

$136K - $176K/yr

The Quantitative Strategist works directly with the originators, traders, quants, and customers to price derivatives and structure complex, competitive deals and products. The pricing methods use a ...

TIFIN

Lead, Quant AI Investments

Boulder, CO

$150K - $225K/yr

As we scale our platform of investment intelligence products, we are seeking someone to lead the intersection of quantitative research, AI innovation, and product strategy. You will shape how ...

Virtu Financial

Quantitative Strategist (PhD)

Austin, TX

$175K - $200K/yr

THE ROLE As a Quant at Virtu, you will be working on interdisciplinary teams alongside traders ... Analyze existing strategies to identify potential improvements * Develop risk models and frameworks ...

next page

Showing results 1-20

All JobsQuant Strategist Jobs

Quant Strategist information

See salary details

$45K

$139.9K

$177.5K

How much do quant strategist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for quant strategist in the United States is $139,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Quant Strategist, and why are they important?

To thrive as a Quant Strategist, you need strong quantitative analytics, mathematical modeling, and programming skills, typically supported by an advanced degree in a quantitative field such as mathematics, physics, or finance. Expertise with programming languages like Python, R, C++, and familiarity with statistical analysis tools, databases, and financial modeling systems is crucial. Exceptional problem-solving abilities, attention to detail, and clear communication help you stand out in cross-functional teams. These skills are essential for developing, testing, and implementing trading strategies that drive financial performance and manage risk in dynamic markets.

How do Quant Strategists typically collaborate with other teams, such as traders and software engineers, in a financial firm?

Quant Strategists frequently work in cross-functional teams, collaborating closely with traders to understand market needs and with software engineers to implement quantitative models. They are often responsible for translating complex financial theories into practical tools and strategies that can be executed in real-time trading environments. Effective communication and teamwork are essential, as Quant Strategists need to ensure that their models align with trading objectives and are robustly integrated into the firm's technology stack. Regular meetings and feedback loops are common to keep all stakeholders aligned and to adapt strategies based on market feedback.

What is the difference between Quant Strategist vs Quant Analyst?

AspectQuant StrategistQuant Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or related fields; often CFA or FRM certificationsSimilar educational background; often entry to mid-level roles with fewer certifications
Work EnvironmentStrategic planning, model development, and high-level decision support in hedge funds, investment banks, or asset managersData analysis, model testing, and implementation support within trading teams or research departments
Employer & Industry UsageFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers, hedge funds

While both roles require strong quantitative skills and similar educational backgrounds, Quant Strategists focus on developing trading strategies and high-level models, whereas Quant Analysts primarily analyze data and support model implementation. The Strategist role is more strategic and decision-oriented, while the Analyst role is more technical and data-focused.

What are Quant Strategists?

Quant Strategists, also known as quantitative strategists or 'quants,' are finance professionals who use mathematical models, statistical techniques, and computer algorithms to analyze financial data and develop trading strategies. They play a crucial role in investment banks, hedge funds, and asset management firms by identifying patterns, assessing risks, and optimizing portfolios. Quant Strategists often have backgrounds in mathematics, physics, computer science, or engineering, and are skilled in programming languages like Python, R, or C++. Their work helps firms make data-driven decisions and stay competitive in complex financial markets.
More about Quant Strategist jobs
What job categories do people searching Quant Strategist jobs look for? The top searched job categories for Quant Strategist jobs are:
Quant Strategist jobs near you
Infographic showing various Quant Strategist job openings in the United States as of July 2026, with employment types broken down into 19% Internship, 78% Full Time, 2% Part Time, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $139,867 per year, or $67.2 per hour.
Quantitative Strategist - Balance Sheet Strategy & Financial Resource Analysis, AVP

Quantitative Strategist - Balance Sheet Strategy & Financial Resource Analysis, AVP

Mizuho Bank, Ltd.

New York, NY • On-site

$132K - $171K/yr

Full-time

Medical, Dental, Retirement

Posted 3 days ago

New

Job description

Position: Quantitative Strategist - Balance Sheet Strategy & Financial Resource Analysis, AVP
Location: New York, NY (on site)
Employment Type: Full-Time
Position Overview
Mizuho is seeking a highly motivated Quantitative Strategist (AVP) to join the Balance Sheet Strategy (BSS) - Financial Resource Analysis team, a group at the center of the firm's efforts to measure, forecast, and optimize the consumption of regulatory capital and other scarce financial resources. As regulatory capital requirements grow in complexity-driven by Basel III Endgame, SA-CCR, and evolving market and counterparty risk standards-this role offers the opportunity to help build the analytical foundation that informs how Mizuho deploys its balance sheet.
The successful candidate will combine strong quantitative and programming skills with a solid understanding of U.S. regulatory capital frameworks to develop RWA analytics, capital forecasting tools, and balance sheet optimization capabilities across Counterparty Credit Risk (CCR), Securities Financing Transactions (SFT), Credit Valuation Adjustment (CVA), and Market Risk. Beyond producing metrics, the role is expected to generate actionable insights that shape business strategy, pricing, and capital allocation decisions.
A key dimension of the role is the practical application of AI and machine learning techniques-including generative AI and large language models-to enhance forecasting accuracy, automate analytical and documentation workflows, and accelerate the interpretation of complex regulatory rules. The Quantitative Strategist will operate at the intersection of quantitative finance, regulation, and technology, working closely with Treasury, Market Risk, Credit Risk, Finance, Technology, Model Validation, and senior management, with significant visibility across the organization.
Key Responsibilities
  • Develop and enhance quantitative analytics for RWA, regulatory capital, leverage exposure, and financial resource optimization across CCR, SA-CCR, SFT, CVA, and Market Risk.
  • Perform RWA attribution, forecasting, and capital consumption analyses to identify optimization opportunities.
  • Support Basel III Endgame implementation, including rule interpretation, impact assessments, and parallel runs.
  • Build and maintain Python-based models and data pipelines for capital forecasting, scenario analysis, and stress testing.
  • Apply AI / Machine Learning techniques to enhance forecasting, pattern detection, data quality, and analytical accuracy.
  • Leverage generative AI and Large Language Models (LLMs) to accelerate documentation, code development, rule interpretation, and process automation.
  • Automate regulatory capital calculations and develop scalable analytics and reporting capabilities.
  • Prepare methodology documentation and analytical specifications in line with model governance standards (SR 26-2).
  • Support interactions with Model Validation, Internal Audit, Regulatory Reporting, and regulators.
  • Present analytical findings and capital impacts to business and senior management stakeholders.

Qualifications & Skills
Education
  • Bachelor's or master's degree in Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Engineering, Computer Science, Data Science, or a related quantitative field.
  • Professional certifications such as CFA, FRM, PRM, or CQF are a plus.

Experience
  • 5-8 years of experience in regulatory capital, financial resource management, balance sheet management, or quantitative risk analytics at a large financial institution.
  • Hands-on experience with one or more of: SA-CCR, CCR, SFT, BA-CVA, Market Risk Capital, or Basel III Endgame.
  • Practical experience applying AI / machine learning or generative AI tools in a financial or analytical context is highly desirable.

Technical Skills
  • Regulatory: Strong knowledge of Basel III / U.S. Basel III Endgame, SA-CCR, CCR, SFT, BA-CVA, Market Risk Capital, and RWA methodologies.
  • Quantitative: Model development, statistical analysis, forecasting, and exposure measurement; solid understanding of derivatives and securities financing.
  • AI & Machine Learning: Familiarity with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch), generative AI / LLMs, and their application to analytics, automation, and productivity. Awareness of AI governance and model risk considerations.
  • Technology: Advanced Python and SQL; Pandas / NumPy and Power BI. Databricks, PySpark, Snowflake, Azure, and Git preferred.

Soft Skills
  • Strong analytical and problem-solving abilities.
  • Clear communication of technical concepts to non-technical audiences.
  • Intellectual curiosity and eagerness to adopt emerging AI-driven tools and techniques.
  • Detail-oriented, self-motivated, and able to manage multiple priorities in a fast-paced, regulated environment.

Why Join Us?
  • Shape Mizuho's Financial Resource Analysis and regulatory capital capabilities.
  • Contribute to major initiatives including Basel III Endgame implementation.
  • Help pioneer the adoption of AI and machine learning in regulatory capital analytics.
  • Gain senior management exposure and drive data-driven balance sheet strategy.
  • Competitive compensation, comprehensive benefits, and performance-based incentives.

The expected base salary ranges from $91,000 - $145,000. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, certifications and licenses obtained. Market and organizational factors are also considered. In addition to salary and a generous employee benefits package, including Medical, Dental and 401K plans, successful candidates are also eligible to receive a discretionary bonus.
#LI
Other requirements
Mizuho has in place a hybrid working program, with varying opportunities for remote work depending on the nature of the role, needs of your department, as well as local laws and regulatory obligations. Roles in some of our departments have greater in-office requirements that will be communicated to you as part of the recruitment process
Company Overview
Mizuho Financial Group, Inc. is the 15th largest bank in the world as measured by total assets of ~$2 trillion. Mizuho's 60,000 employees worldwide offer comprehensive financial services to clients in 35 countries and 800 offices throughout the Americas, EMEA and Asia. Mizuho Americas is a leading provider of corporate and investment banking services to clients in the US, Canada, and Latin America. Through its acquisition of Greenhill, Mizuho provides M&A, restructuring and private capital advisory capabilities across Americas, Europe and Asia. Mizuho Americas employs approximately 3,500 professionals, and its capabilities span corporate and investment banking, capital markets, equity and fixed income sales & trading, derivatives, FX, custody and research. Visit www.mizuhoamericas.com.
Mizuho Americas offers a competitive total rewards package.
We are an EEO/AA Employer - M/F/Disability/Veteran.
We participate in the E-Verify program.
We maintain a drug-free workplace and reserve the right to require pre- and post-hire drug testing as permitted by applicable law.
#LI-MIZUHO

Apply