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Quantitative Analytics Analyst Jobs (NOW HIRING)

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'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 ...

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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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 Jul 21, 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 are Quantitative Analytics Analysts?

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, and why are they important?

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.

More about Quantitative Analytics Analyst jobs
What states have the most Quantitative Analytics Analyst jobs? States with the most job openings for Quantitative Analytics Analyst jobs include:
What job categories do people searching Quantitative Analytics Analyst jobs look for? The top searched job categories for Quantitative Analytics Analyst jobs are:
Infographic showing various Quantitative Analytics Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Quantitative Analytics Associate - Capital

Quantitative Analytics Associate - Capital

Keybank

Chicago, IL

Full-time

Re-posted 6 days ago


KeyBank rating

8.4

Company rating: 8.4 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

34th of 149 rated banks


Job description

Location:

4900 Tiedeman Road, Brooklyn Ohio

ABOUT THE JOB (JOB BRIEF)
Under direct supervision, the Quantitative Analytics Associate is primarily responsible for using statistics, advanced mathematical techniques, and/or computer science to support the development and validation of predictive and machine-learning models for specific business needs. The 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?". Projects undertaken by the Quantitative Analytics Associate are often broad in scope across multiple business segments and involve evaluation and testing on existing data with substantial team support.

This role sits within a specialized economic capital environment and offers the opportunity to work in a highly niche analytical space. The team is actively evolving how work is done by leveraging AI-generated code and modern tools, and this individual will play a key role in accelerating that transition.

Success factors include: timely and effective completion of tasks assigned by manager under significant supervision; building functional knowledge in analytical programming languages, data literacy, and model development; developing communication skills, business acumen, and critical thinking; establishing relationships with the working team; demonstrating a self-starter mentality; and contributing to the adoption and advancement of AI-driven solutions across the team.

ESSENTIAL JOB FUNCTIONS
Conduct quantitative analysis on large data sets with manager and team support, including work tied to economic capital modeling frameworks
Identify common data errors and their impact
Employ basic best practices for evaluating large data
Answer key business questions through exploration and discovery, including those tied to risk and capital modeling
Find patterns or anomalies by building out visualizations
Execute basic diagnostics testing under supervision (e.g. performance testing, assumption verification and impacts of limitations)
Tests, under supervision, suitability / sufficiency for approach (e.g. representativeness)
Support the team's transition toward AI-generated code, helping integrate AI tools into day-to-day workflows
Partner with team members to increase adoption and effective use of AI platforms and agentic tools
Learn existing economic capital approaches and help identify opportunities to enhance processes through automation and AI-driven solutions

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 1 year of relevant experience; 0 with Master's or PhD

DATA LITERACY
Understanding of:
Data wrangling including information documentation and importing data from different formats
Descriptive statistics, random variables, common distributions, outliers
Ability to consume, explore, and evaluate big data; can leverage this skill to inform business questions
Baseline understanding or interest in economic capital modeling concepts or similar quantitative frameworks

TECHNOLOGY & TECHNIQUES
Navigation, shortcuts, use and share spreadsheet documents
Python/R/SAS:
Perform IDE walk-through; shortcuts
Connect to data bases
Use functions such as classes, variables, lists, and classes
Program files, modules, and libraries
Exposure to or interest in standard AI and machine learning tools, including generative AI platforms
Familiarity with or curiosity around agentic tools and AI-assisted coding environments

MODEL BUILDING & MAINTENANCE
Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
Able to perform basic diagnostics testing
Understanding of:
Foundational statistical / measurement concepts, methods, and techniques
Basic uses, scope, features, benefits, and risks of available modeling methods
Ability to apply these concepts within an economic capital or risk modeling context over time

EXPECTED COMPETENCIES
Leadership: Works under general direction / supervision; may work independently, but often needs ongoing guidance and support; demonstrates initiative and ownership in a self-starter environment


Partnering / Influencing: Limited business partner interaction - work typically assigned by manager; Developing relationship building ability and interpersonal skills; Engage and interact mostly with immediate team and peers; Developing influencing skills; supports team adoption of new tools and approaches, including AI


Business Acumen: Developing basic understanding of business partner strategy; Building financial acumen; gains exposure to economic capital concepts and their business relevance


Critical Thinking / Problem Solving: Developing critical thinking skills; Can analyze simple issues with low complexity; Can give perspective to the team addressing basic business/analytical problems and challenges; Recognizes need to escalate issues in a timely manner; demonstrates curiosity and problem-solving mindset around process improvement and automation


Communication: Basic writing skills; beginning to develop ability to organize information in clear, consistent format; Typically needs assistance with articulating a clear, well-thought out message and formal delivery; Minimal skills in creating PowerPoint presentations; limited formal delivery; able to collaborate effectively and is easy to work with

COMPENSATION AND BENEFITS

This position is eligible to earn a base salary in the range of $69,000.00 - $105,000.00 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: 07/31/2026 KeyCorp 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.

#LI-Remote

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About KeyBank

Sourced by ZipRecruiter

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