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Executive Quantitative Analyst Google Jobs (NOW HIRING)

WSFS Bank

Quantitative Risk Analyst

Philadelphia, PA · On-site

$64K - $105K/yr

Maintain current/develop new analytical reports and presentations for senior management, executive ... Strong quantitative and analytical skills in statistical analysis and data science best practices

US Bank

Quantitative Model Analyst 2

Charlotte, NC

... is to provide executive management with accurate, timely, and comprehensive forecasts of the ... Our team is seeking a strong, decisive, results-oriented quantitative analyst who will be ...

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Executive Quantitative Analyst Google information

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$56.5K

$133.9K

$240K

How much do executive quantitative analyst google jobs pay per year?

As of Jun 12, 2026, the average yearly pay for executive 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.

Is Data Analyst still relevant in 2026?

Data Analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making, with roles evolving to include skills in programming, data visualization, and machine learning tools. The role often overlaps with data science and requires proficiency in software like SQL, Python, or R, making it a valuable position in many industries.

Is a quant analyst high paying?

Quantitative analysts, especially at major firms like Google, typically earn high salaries due to their specialized skills in mathematics, programming, and data analysis. Compensation often includes base salary, bonuses, and stock options, reflecting the high demand for their expertise in finance and technology sectors.

Does JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and may involve working with tools like Python, R, or MATLAB. Quant roles at JP Morgan are competitive and often require relevant experience or advanced degrees in quantitative fields.

How much do quant analysts make at Google?

Quantitative analysts at Google typically earn between $120,000 and $200,000 annually, depending on experience, education, and specific responsibilities. Compensation may also include bonuses, stock options, and other benefits, with senior roles earning higher salaries. Strong skills in programming, statistics, and financial modeling are often required for these positions.

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

AspectExecutive Quantitative AnalystQuantitative Analyst
CredentialsAdvanced degrees (Master's/PhD), certifications like CFA or CQFBachelor's or Master's in finance, mathematics, or related fields
Work EnvironmentHigh-level strategic roles, often in leadership teams, focused on complex modelingData analysis, model development, and support for trading or investment decisions
Employer & IndustryLarge tech firms, hedge funds, investment banksFinancial institutions, asset management firms, tech companies

Executive Quantitative Analysts Google typically hold senior credentials and focus on strategic, high-impact modeling, while Quantitative Analysts perform core data analysis and model development. Both roles are vital in finance and tech sectors but differ in scope and seniority.

More about Executive Quantitative Analyst Google jobs
What cities are hiring for Executive Quantitative Analyst Google jobs? Cities with the most Executive Quantitative Analyst Google job openings:
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What states have the most Executive Quantitative Analyst Google jobs? States with the most job openings for Executive Quantitative Analyst Google jobs include:
What job categories do people searching Executive Quantitative Analyst Google jobs look for? The top searched job categories for Executive Quantitative Analyst Google jobs are:
Executive Quantitative Analyst Google jobs near you
Infographic showing various Executive Quantitative Analyst Google job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 67% Full Time, 13% Part Time, and 16% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Risk Analyst

Quantitative Risk Analyst

WSFS Bank

Philadelphia, PA • On-site

$64K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Job Description
NewLane Finance is seeking an individual to assist the credit and risk modeling and analytics function using data to advance credit risk behavior and quantification of these risk and return tradeoffs through the deployment of models and algorithms to optimize such strategies. This role will be responsible for providing analytical/quantitative input to help develop, implement, and monitor the build of complex commercial small business Expected Default (ED) and Probability of Default (PD) credit default models.
The successful candidate will use their business analysis, process, and quantitative knowledge to ensure business intent is matched with modeling outcome, and document development decisions under SR11-7 guidelines. In addition to responsibilities on individual modeling projects this role will be expected to work on ad-hoc projects as needed. Communicating model mechanics and articulating nuances to leadership will be an important aspect of the role. This is a great opportunity for someone who is a modeler/statistician/data analyst/coder (or a combination) with experience in commercial small business credit analysis.
Key Responsibilities:
  • Assist the Quantitative Risk Manager in constructing a Credit Decision Scorecards and statistically based credit risk modeling strategies based on quantitative modeling methods (e.g., good / bad definition, performance sample windows, sample size and exclusions).
  • Assist in developing and implementing a framework for data collection, processing and analyzing customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for implementing credit risk strategies
  • Plan and execute self-driven analytics on large data sets (structured and unstructured data) using next generation technologies, prepare analysis and reports to support discussions on key analytics and model aspects to drive decision making
  • Validate credit default rates from portfolio attributes (e.g., delinquencies, EOD, loss curves, dealer performance) and make recommendations on credit model and policies
  • Work with sales management on risk-based pricing strategies optimizing dealer conversion rates and profitability.
  • Oversight of credit data mart used for reporting and portfolio performance monitoring.
  • Supporting ongoing and future projects working with the senior team.
  • Ability to create visualizations of data and/or quantitative information for management decision-making
  • Support building and enhancing procedures and model documentation in compliance with regulatory guidance as well as the Bank's model risk policy
  • Maintain current/develop new analytical reports and presentations for senior management, executive committees, and regulatory exams

Experience:
  • Bachelor's degree in Mathematics/Statistics, Operations Research, Economics, Finance, or other quantitative discipline; or in lieu of a degree, four (4) plus years' experience in Risk, Finance, Consumer Lending
  • Three (3) plus years of commercial small business credit modeling experience.
  • Two (2) plus years of experience in Consumer Lending statistical modeling/analytics, preferably related to ALL and/or Loss Forecasting modeling for credit cards.
  • Two (2) plus years in coding with Python, PySpark or other equivalent language within the past Five (5) years

Desired Characteristics:
  • Demonstrated experience with SAS and other statistical methods.
  • Proven decision-making role constructing credit models in a regulated environment
  • Strong quantitative and analytical skills in statistical analysis and data science best practices
  • Strong communication and partnering skills

Salary Range:
$64,491.00 - $105,949.50
Individual base pay may vary on additional factors such as the candidate's experience, job-related skills, relevant education, geographic location, and other specific business and organizational needs.
In addition to base salary, WSFS Financial Corporation (WSFS) and its subsidiaries may offer eligible Associates discretionary and formula-based incentive and retention awards. WSFS provides a competitive benefits package, which includes medical, dental, and vision coverage; a 401(k) plan; life, accident, and disability insurance; flexible spending accounts (FSAs) and health savings accounts (HSAs); and wellness programs. Additional benefits may include paid parental leave, military leave, vacation and other paid time off, sick leave in accordance with applicable state laws, and paid holidays. Benefit offerings are subject to eligibility requirements, legal limitations, and may vary based on an Associate's location and employment status. For more information about Associate benefits, please visit https://www.wsfsbank.com/about/careers/
WSFS Bank is inclusive and supportive of individual needs. If you have a physical or other impairment that might require an accommodation, including technical assistance with the WSFS Bank Careers website or submission process, please contact us via email at careers@wsfsbank.com.
WSFS is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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