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Quantitative Associate information

See Ohio salary details

$29.5K

$86.1K

$138.8K

How much do quantitative associate jobs pay per year?

As of Jul 8, 2026, the average yearly pay for quantitative associate in Ohio is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $113,100.00 per year, depending on experience, location, and employer.

How do Quantitative Associates typically collaborate with traders and technology teams in a financial firm?

Quantitative Associates often work closely with traders to understand their strategies and provide data-driven insights that improve trading outcomes. They also collaborate with technology teams to implement models into production systems, ensuring that algorithms are both effective and efficient. This cross-functional teamwork requires strong communication skills and a willingness to learn from professionals in different disciplines. Regular meetings, joint problem-solving sessions, and collaborative project management tools are commonly used to keep everyone aligned and drive successful outcomes.

What is the difference between Quantitative Associate vs Quantitative Analyst?

AspectQuantitative AssociateQuantitative Analyst
Required CredentialsTypically a master's degree in finance, mathematics, or related field; strong programming skillsSimilar educational background; often requires advanced quantitative skills and certifications
Work EnvironmentFinancial firms, hedge funds, asset management; collaborative teamsSame as Quantitative Associate; focused on model development and data analysis
Employer & Industry UsageCommon in investment banks, hedge funds, asset managersUsed interchangeably in many firms; both roles involve quantitative modeling
Search & Comparison IntentHigh overlap; both roles involve quantitative analysis and modeling

Both Quantitative Associates and Quantitative Analysts work in similar environments, requiring advanced degrees and strong analytical skills. The roles often overlap in responsibilities, focusing on developing models, analyzing data, and supporting trading or investment decisions. The main difference may lie in job titles used by different firms, but their core functions are quite comparable.

What jobs make $1,000,000 a year?

In the finance industry, senior roles such as hedge fund managers, private equity partners, and investment bankers can earn $1,000,000 or more annually, often through a combination of salary, bonuses, and profit sharing. Quantitative associates working in hedge funds or proprietary trading firms with successful strategies and significant assets under management may also reach this level, especially with performance-based incentives and advanced skills in data analysis and programming. High earnings typically require extensive experience, strong performance, and often a high level of education or certifications.

What is a quantitative associate?

A quantitative associate is a financial professional who applies mathematical, statistical, and programming skills to analyze data and develop models for trading, risk management, or investment strategies. They often work with tools like Python, R, or MATLAB and require strong analytical abilities and knowledge of finance or economics. The role typically involves collaboration with traders and analysts in a fast-paced environment.

What are the 4 types of quants?

Quantitative associates typically fall into four main categories: sell-side quants who develop trading models, buy-side quants who analyze investment strategies, risk quants who assess financial risks, and technology quants who build computational tools. These roles often require strong programming skills, statistical knowledge, and a solid understanding of financial markets.

Do quants make a lot of money?

Quantitative associates typically earn high salaries due to their specialized skills in mathematics, programming, and finance. Compensation often includes base salary, bonuses, and profit sharing, with total earnings varying based on experience, firm size, and performance.

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

To thrive as a Quantitative Associate, you need strong quantitative analysis skills, advanced knowledge of mathematics and statistics, and typically a degree in a quantitative field such as mathematics, finance, or engineering. Proficiency in programming languages like Python or R, data analysis tools, and experience with financial modeling platforms are commonly required. Attention to detail, problem-solving abilities, and effective communication help you translate complex data insights into actionable business strategies. These skills are critical for developing accurate models, managing risk, and supporting data-driven decision-making in financial environments.

What are Quantitative Associates?

Quantitative Associates are professionals who use mathematical, statistical, and computational techniques to analyze financial data and develop models for decision-making in fields such as banking, investment, and risk management. They often support senior quantitative analysts or traders by implementing algorithms, conducting data analysis, and providing insights to improve business strategies. These roles typically require strong skills in programming, mathematics, and finance, and are commonly found in investment banks, hedge funds, and financial technology firms.
What are the most commonly searched types of Quantitative jobs in Ohio? The most popular types of Quantitative jobs in Ohio are:
What are popular job titles related to Quantitative Associate jobs in Ohio? For Quantitative Associate jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Quantitative Associate jobs in Ohio look for? The top searched job categories for Quantitative Associate jobs in Ohio are:
What cities in Ohio are hiring for Quantitative Associate jobs? Cities in Ohio with the most Quantitative Associate job openings:
Quantitative Associate jobs near you
Lead Quantitative Analytics Associate II - Business Banking & Consumer Analytics

Lead Quantitative Analytics Associate II - Business Banking & Consumer Analytics

Keybank

Brooklyn, OH • On-site

Full-time

Re-posted 6 days ago

KeyBank rating

8.3

Company rating: 8.3 out of 10

Based on 95 frontline employees who took The Breakroom Quiz

30th of 145 rated banks

Job description

Location:

4900 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
  • Use traditional statistical methods and machine learning to develop, monitor, maintain, and implement models that address the right business need including CECL, Stress Testing, Account Management, Origination Scorecard and Macroeconomic Forecast
  • Assess and challenge data preparation practices against established standards and model requirements, engage with data stewards to review data quality, traceability, and efficiency from a validation perspective
  • Often responsible for large, complex problems that have broad implications and are less frequent
  • Identify and articulate observations based on a structured assessment of context, interdependencies, and analytical outcomes, and evaluate their impact on model soundness, reliability, and business use Reviews deliverables; proactively coaches others on approach and work product
  • Evaluate the appropriateness of analytical methods used and assess whether they are suitable and well justified for the given context
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
  • Traditional (e.g. Linear Regression, Logistic Regression) with the ability to design and optimize modeling evaluate, challenge, and validate model design, and performance testing
  • Intermediate Python/SQL:
    • Write and Read functions (Py) and Windows function (SQL)
    • Understand Data Import and Joins
    • Can build code controls and translate code into commentary
  • Advanced modeling techniques, including machine learning methods (e.g., XGBoost, LightGBM, Random Forest), with the ability to design and optimize modeling evaluate, challenge, and validate model design, and performance testing
  • Git
    • Can build strong code controls
    • Resolve Conflict
    • Work Collaboratively contributing to one Codebase
  • Advanced Python/SQL:
    • Write and Read Class and Unite Test
    • Write and Read Advanced Windows functions
    • Can build strong code controls and translate code into high-level commentary
  • Understanding of and ability to leverage:
    • Cloud-based computing
    • Distributed computing
  • Agentic AI (LLM, MCP, RAG)
MODEL BUILDING & MAINTENANCE
  • Understanding of:
    • Model use, requirements, and implementation needs
    • Testing for deterioration and model health
    • fundamental concepts of Machine Learning
    • How statistical measurements are used
  • 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
  • Understanding of:
    • Model Risk Management process and foundations
    • Scale concepts of Machine Learning
  • Advanced data techniques for modeling frameworks
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: 08/03/2026 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.

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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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