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Associate Quantitative Analyst information

What are some common challenges an Associate Quantitative Analyst faces when transitioning from academia to industry?

One common challenge for Associate Quantitative Analysts moving from academia to industry is adapting to the fast-paced, results-driven environment where deadlines and business impacts are prioritized over theoretical exploration. Unlike academic research, industry projects often require quick, practical solutions and effective communication with non-technical stakeholders. Additionally, analysts may need to balance multiple projects simultaneously and collaborate closely with teams such as risk management, IT, and trading desks. Developing strong project management and communication skills can help ease this transition.

What is the difference between Associate Quantitative Analyst vs Quantitative Analyst?

AspectAssociate Quantitative AnalystQuantitative Analyst
Required CredentialsBachelor's degree in finance, mathematics, or related field; some roles may require a master'sBachelor's or master's degree in quantitative fields; often more experience required
Work EnvironmentEntry-level position in finance or investment firms, supporting senior analystsMid-level role, involved in developing models and strategies in finance firms
Employer & Industry UsageCommon in asset management, hedge funds, investment banksUsed across similar financial institutions, often as a step toward senior roles

The Associate Quantitative Analyst typically holds an entry-level position with a focus on supporting quantitative teams, while a Quantitative Analyst usually has more experience and takes on more complex modeling tasks. Both roles are essential in financial analysis, but the associate role often serves as a stepping stone to becoming a full Quantitative Analyst.

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

To thrive as an Associate Quantitative Analyst, you need strong analytical skills, advanced proficiency in mathematics and statistics, and typically a degree in a quantitative field such as mathematics, statistics, finance, or engineering. Familiarity with programming languages like Python or R, experience with statistical modeling tools, and knowledge of data analysis platforms are commonly required. Attention to detail, problem-solving ability, and effective communication skills help you interpret data and collaborate with team members. These skills are crucial for developing accurate models, providing actionable insights, and supporting data-driven decision-making in complex financial environments.

What does an Associate Quantitative Analyst do?

An Associate Quantitative Analyst is responsible for applying mathematical, statistical, and analytical methods to financial and risk management problems. Their tasks often include building financial models, analyzing large datasets, and supporting senior analysts or portfolio managers with data-driven insights. They typically use programming languages like Python, R, or MATLAB to develop algorithms and test investment strategies. Associate Quantitative Analysts play a crucial role in helping organizations make data-informed decisions in areas such as trading, asset management, and risk assessment.
What are the most commonly searched types of Quantitative Analyst jobs in Ohio? The most popular types of Quantitative Analyst jobs in Ohio are:
What are popular job titles related to Associate Quantitative Analyst jobs in Ohio? For Associate Quantitative Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Associate Quantitative Analyst jobs in Ohio look for? The top searched job categories for Associate Quantitative Analyst jobs in Ohio are:
What cities in Ohio are hiring for Associate Quantitative Analyst jobs? Cities in Ohio with the most Associate Quantitative Analyst job openings:
Associate Quantitative Analyst 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 15 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 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: 08/03/2026KeyCorp 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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