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Quantitative Analytics Analyst Jobs (NOW HIRING)

KeyBank

Quantitative Analytics Lead Associate

Brooklyn, OH · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

KeyBank

Lead Quantitative Analytics Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

Keybank

Quantitative Analytics Lead Associate

Buffalo, NY · On-site

$71K - $125K/yr

The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

Freddie Mac

Quantitative Analytics Senior

Mclean, VA · On-site

$126K - $190K/yr

Freddie Mac's Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and ...

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All JobsQuantitative Analytics Analyst Jobs

Quantitative Analytics Analyst information

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$56.5K

$133.9K

$240K

How much do quantitative analytics analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for quantitative analytics analyst 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 are some common challenges faced by quantitative analytics analysts when working with large data sets?

Quantitative Analytics Analysts often encounter challenges related to data quality, such as incomplete or inconsistent data, which can impact the accuracy of their analyses. Managing and processing massive data sets requires familiarity with advanced analytical tools and programming languages like Python, R, or SQL. Additionally, effectively communicating complex quantitative findings to non-technical stakeholders can be demanding, so strong visualization and presentation skills are important. Analysts typically collaborate with data engineers, risk managers, and business strategists to ensure their models are both robust and actionable.

What is a quantitative analytics analyst?

Quantitative Analytics Analysts are professionals who use advanced mathematical, statistical, and computational techniques to analyze data and solve complex problems, often within the finance or business sector. They develop and implement models to assess risk, forecast trends, and inform decision-making. Their work is crucial for organizations that rely on data-driven strategies, such as banks, investment firms, and consulting companies. Quantitative Analytics Analysts often collaborate with other teams to provide actionable insights and optimize business processes.

What are the key skills and qualifications needed to thrive as a quantitative analytics analyst?

To thrive as a Quantitative Analytics Analyst, you need strong analytical skills, a solid foundation in mathematics or statistics, and usually a degree in a quantitative field such as finance, economics, or computer science. Familiarity with programming languages like Python or R, data analysis tools, and statistical software, as well as experience with databases such as SQL, is highly valued. Attention to detail, problem-solving ability, and effective communication skills help analysts interpret data and convey complex findings clearly. These skills are essential for accurately modeling data, informing business decisions, and driving actionable insights in data-driven environments.

What is the difference between Quantitative Analytics Analyst vs Data Analyst?

AspectQuantitative Analytics AnalystData Analyst
Required CredentialsBachelor's or master's in finance, statistics, or related fields; proficiency in statistical softwareBachelor's in data science, statistics, or related fields; strong Excel and SQL skills
Work EnvironmentFinancial firms, investment banks, hedge fundsBusiness, marketing, healthcare, tech companies
Employer & Industry UsageUsed in finance and investment sectors for modeling and risk analysisUsed across various industries for data reporting and insights

While both roles analyze data, Quantitative Analytics Analysts focus on complex financial modeling and risk assessment using advanced statistical methods, often in finance. Data Analysts handle broader data collection and reporting tasks across industries. The roles overlap in data skills but differ in industry focus and complexity.

Is a quantitative analytics analyst a hard job?

A quantitative analytics analyst role involves complex data analysis, mathematical modeling, and proficiency with tools like Excel, SQL, and statistical software. The job can be challenging due to the technical skills required and the need for strong problem-solving abilities, but it also offers opportunities for continuous learning and skill development.

What is a quantitative analytics analyst's salary?

The average salary for a quantitative analytics analyst typically ranges from $70,000 to $130,000 annually, depending on experience, education, and location. Professionals in this role often have strong skills in statistics, programming, and data analysis tools like Python or R.
More about Quantitative Analytics Analyst jobs
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Quantitative Analytics Analyst jobs near you
Infographic showing various Quantitative Analytics Analyst job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 78% Physical, 7% Hybrid, and 15% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analytics Lead Associate

KeyBank

Brooklyn, OH • On-site

$71K - $125K/yr

Full-time

Re-posted 7 hours ago

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

51st of 171 rated banks

Job description

Location:
4910 Tiedeman Road, Brooklyn Ohio
ABOUT THE JOB (JOB BRIEF)
Under some supervision, the Lead Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to develop and validate predictive and machine-learning models for specific business needs. The Lead Quantitative Analytics Associate leverages advanced mathematical knowledge and analysis to provide solutions to predictive and prescriptive questions such as "What will happen next?" and "What will we do?". Often large in scope, projects undertaken by the Lead Quantitative Analytics Associate involve self-directed data analysis and model building in response to a problem statement proposed by a business partner. Success factors include: timely and effective completion of tasks assigned by manager with manager and/or peer guidance; exercising functional knowledge in analytical programming languages, data literacy, and model development; effective communication of insights and data to peers; and developing work autonomy and problem-solving.
ESSENTIAL JOB FUNCTIONS
  • Conduct quantitative analysis including hypothesis testing and root-cause analysis on large data sets with more autonomy
  • Support the working group by identifying types of information needed for analysis or to inform business questions create data structures/transformations to be leveraged by groups for analysis
  • Use statistical analysis and machine learning to develop, maintain, and anticipate considerations in implementation of models that address the right business need
  • Use critical thinking to use the right approach for each problem statement
  • Anticipate business need and make continuous improvements to models and processes

REQUIRED QUALIFICATIONS
  • Bachelor's degree (or its equivalent) in statistics, mathematics, economics, financial engineering, data sciences, predictive modeling, or other quantitative disciplines and at least 2 years of relevant experience; 1 with Master's or PhD

DATA LITERACY
  • Understanding of and ability to:
    • Create data structures / transformations
    • Identify and capture different types of information for business needs or necessary for analysis
    • Data controls
    • Hypothesis testing / root-cause analysis
    • Leverage and anticipate considerations in implementation

TECHNOLOGY & TECHNIQUES
  • Advanced Microsoft Office Suite
  • SQL/NoSQL
    • Relationship data structure
    • Selecting and retrieving data including unstructured data retrieval, archival, and ETL
    • Databases
  • Advanced Python/R/SAS:
    • Databases
    • Efficient coding
    • Can build strong code controls and translate code into high-level commentary
  • Understanding of and ability to leverage:
    • Cloud-based computing
    • Distributed computing

MODEL BUILDING & MAINTENANCE
  • Understanding of:
    • Model use, requirements, and implementation needs
    • Model Risk Management process and foundations
    • Testing for deterioration and model health
    • Scale and fundamental concepts of Machine Learning
    • How statistical measurements are used
    • Advanced data techniques for modeling frameworks
  • Ability to:
    • Produce and identify information through statistical analysis
    • Effectively explain model insights to peers and analytics community
    • Identify preferred approach given the problem statement

EXPECTED COMPETENCIES
  • Leadership: Some self-direction, likely will need some guidance and supervision; Starting to anticipate possible business problems - improving something that already exists
  • Partnering / Influencing: Developing relationship building and interpersonal skills; Partnerships and influence typically at peer or "working group" level; Building influencing skills; demonstrated in area of expertise or assigned LOB
  • Business Acumen: Understands business partner strategy and the business of banking at a high level; Asks the right questions; Understands upstream and downstream impacts
  • Critical Thinking / Problem Solving: Demonstrates critical thinking; Analyzes, identifies and recommends appropriate solutions to moderately complex problems; Can translate data and answer the "why" question; Starting to understand impacts / intersections with others
  • Communication: Solid writing skills; Can cohesively present and organize information in support of findings and recommendations; Demonstrates confidence in communicating a message (typically narrow in scope); Can tell a compelling story with data and information; Emerging presentation development and delivery skills

COMPENSATION AND BENEFITS
This position is eligible to earn a base salary in the range of $71,000.00 - $125,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives.
Please click here for a list of benefits for which this position is eligible.
Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment.
Job Posting Expiration Date: 08/10/2026KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law.
Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com.
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About KeyBank

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Key is one of the nation's largest bank-based financial services companies. Key provides deposit, lending, cash management, insurance, and investment services to individuals and businesses in 15 states under the name KeyBank National Association through a network of more than 1,200 branches and more than 1,500 ATMs. Key also provides a broad range of sophisticated corporate and investment banking products, such as merger and acquisition advice, public and private debt and equity, syndications, and derivatives to middle market companies in selected industries throughout the United States under the KeyBanc Capital Markets trade name.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US

Year founded

1849

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