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Quantitative Analyst Google Jobs (NOW HIRING)

Google

Senior Finance Analyst, Capacity Planning

Kirkland, WA · On-site

$97K - $121K/yr

Excellent quantitative, written, and presentation skills with experience presenting to executive management. About the job Financial Analysts ensure that Google makes sound financial decisions. As a ...

Point72

Quantitative Software Developer

New York, NY

Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Point72

Quantitative Software Developer

New York, NY · On-site

Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we ... Improve data ETL pipeline and build tools to analyze new data efficiently. * Build technologies to ...

Google

Senior Engineering Analyst, AdSpam

Kirkland, WA · On-site

$100K - $132K/yr

Experience with fraud and risk management or statistical and quantitative modeling. * Experience ... You work globally and cross-functionally with Google engineers and product managers to identify and ...

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Quantitative Analyst Google information

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$56.5K

$133.9K

$240K

How much do quantitative analyst google jobs pay per year?

As of Jun 9, 2026, the average yearly pay for quantitative analyst google in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is a Quantitative Analyst Google job?

A Quantitative Analyst at Google uses statistical models, machine learning, and data analysis to solve complex business and engineering problems. They work with large datasets to drive insights, optimize processes, and inform decision-making across teams like finance, advertising, and engineering. The role requires strong programming skills (such as Python or SQL), proficiency in statistical methods, and an ability to translate data into actionable recommendations. Quantitative Analysts collaborate with engineers, product managers, and business leaders to develop data-driven solutions.

What are the key skills and qualifications needed to thrive in the Quantitative Analyst Google position, and why are they important?

To thrive as a Quantitative Analyst at Google, you need a strong background in mathematics, statistics, data analysis, and programming, usually supported by an advanced degree in a quantitative field. Familiarity with technical tools like Python, R, SQL, machine learning frameworks, and data visualization platforms is highly valued. Strong problem-solving ability, attention to detail, collaboration, and clear communication are vital soft skills for excelling in this role. These skills ensure you can derive actionable insights from complex data sets and effectively present findings to both technical and non-technical stakeholders at Google.

What are some of the typical projects or challenges a Quantitative Analyst at Google might work on?

As a Quantitative Analyst at Google, you may tackle projects involving large-scale data analysis to optimize products, improve advertising solutions, or enhance user experience across various platforms. Common challenges include developing predictive models, conducting A/B testing, identifying trends in massive datasets, and translating quantitative findings into business recommendations. You’ll often collaborate closely with engineers, product managers, and other analysts to deliver impactful results. The fast-paced, innovative environment means you’ll need to adapt to new data sources and methodologies, fostering both technical and professional growth.

More about Quantitative Analyst Google jobs
What are the most commonly searched types of Quantitative Analyst Google jobs? The most popular types of Quantitative Analyst Google jobs are:
What states have the most Quantitative Analyst Google jobs? States with the most job openings for Quantitative Analyst Google jobs include:
What job categories do people searching Quantitative Analyst Google jobs look for? The top searched job categories for Quantitative Analyst Google jobs are:
Quantitative Analyst Google jobs near you
Infographic showing various Quantitative Analyst Google job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Vice President, Quantitative Financial Analyst

Bank of America

New York, NY • On-site

$200K - $225K/yr

Full-time

PTO

Posted 7 days ago

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.
Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Job Description:
This job is responsible for conducting quantitative analytics and modeling projects for specific business units or risk types. Key responsibilities include developing new models, analytic processes, or systems approaches, creating technical documentation for related activities, and working with Technology staff in the design of systems to run models developed. Job expectations include having a broad knowledge of financial markets and products.
Within the FICC Quantitative Strategies and Data Group is our Global Rates Electronic Trading Strats team, one of the fastest growing and dynamic areas at Bank of America. The Global Rates team is a growing and ambitious organisation, and eTrading continues to be recognized as a focus of future investment and a driver of innovation.
Responsibilities:
  • Performs end-to-end market risk stress testing including scenario design, scenario implementation, results consolidation, internal and external reporting, and analyzes stress scenario results to better understand key drivers
  • Supports the planning related to setting quantitative work priorities in line with the bank's overall strategy and prioritization
  • Identifies continuous improvements through reviews of approval decisions on relevant model development or model validation tasks, critical feedback on technical documentation, and effective challenges on model development/validation
  • Supports model development and model risk management in respective focus areas to support business requirements and the enterprise's risk appetite
  • Supports the methodological, analytical, and technical guidance to effectively challenge and influence the strategic direction and tactical approaches of development/validation projects and identify areas of potential risk
  • Works closely with model stakeholders and senior management with regard to communication of submission and validation outcomes
  • Performs statistical analysis on large datasets and interprets results using both qualitative and quantitative approaches
  • Responsibilities of this role include working with Global Rates business to research, design and build the trading models and electronic systems for pricing, electronic market making and automatic risk management for the Rates trading desks. This role operates in close co-operation with our partners in Trading, Sales and Technology as well as other lines of business across FICC.

Skills:
  • Experience in designing and building production trading systems and knowledge of underlying trading infrastructure, with an emphasis on distributed low latency, high availability systems, including pricing and risk management, trade & order lifecycle management, algorithmic execution
  • Exceptional development skills in Java with experience working on multi-threaded programming and dependency injection frameworks like Google Guice or Spring
  • Academic background at undergraduate or, ideally, Masters/PhD level in a quantitative subject (Mathematics, Statistics, Physics, Engineering, Computer Science or other analytical background) or related work experience
  • Financial markets experience
  • Experience in quantitative modelling and working with large datasets

Minimum Education Requirement: Master's degree in related field or equivalent work experience
Hours Per Week:
40
Travel Required:
Yes, 5% of the time
Pay Transparency details
US - NY - New York - ONE BRYANT PARK - BANK OF AMERICA TOWER (NY1100)
Pay and benefits information
Pay range
$200,000.00 - $225,000.00 annualized salary, offers to be determined based on experience, education and skill set.
Discretionary incentive eligible
This role is eligible to participate in the annual discretionary plan. Employees are eligible for an annual discretionary award based on their overall individual performance results and behaviors, the performance and contributions of their line of business and/or group; and the overall success of the Company.
Benefits
This role is currently benefits eligible. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve.

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