ZipRecruiter

Log In

1

Internship Machine Learning Quant Jobs in Ohio (NOW HIRING)

OCLC, Inc.

Senior Data Scientist

Dublin, OH · On-site

... quantitative field and 2+ years professional experience in a data science, machine learning, or related analytical role * Deep understanding of machine learning algorithms, statistical modeling ...

next page

Showing results 1-20

All JobsInternship Machine Learning Quant JobsInternship Machine Learning Quant Jobs in Ohio

Internship Machine Learning Quant information

What is the difference between Internship Machine Learning Quant vs Data Scientist Intern?

AspectInternship Machine Learning QuantData Scientist Intern
Required CredentialsStrong programming skills, basic finance knowledge, coursework in machine learningStatistics, programming, domain knowledge, coursework in data analysis
Work EnvironmentFinancial firms, hedge funds, quantitative trading teamsTech companies, startups, research labs
Industry UsageFinance, trading, quantitative researchTechnology, marketing, healthcare analytics
Common Search IntentInternship roles in finance with machine learning focusInternship roles in data science across industries

Internship Machine Learning Quant roles typically focus on applying machine learning techniques to financial data within trading and investment firms. Data Scientist Intern positions are broader, spanning various industries like tech and healthcare, emphasizing data analysis and modeling. While both require programming and analytical skills, the finance-specific knowledge is more critical for Machine Learning Quant internships.

What are the most commonly searched types of Machine Learning Quant jobs in Ohio? The most popular types of Machine Learning Quant jobs in Ohio are:
What are popular job titles related to Internship Machine Learning Quant jobs in Ohio? For Internship Machine Learning Quant jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Quant jobs in Ohio look for? The top searched job categories for Internship Machine Learning Quant jobs in Ohio are:
What cities in Ohio are hiring for Internship Machine Learning Quant jobs? Cities in Ohio with the most Internship Machine Learning Quant job openings:
Internship Machine Learning Quant 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

Posted 17 days ago

KeyBank rating

8.2

Company rating: 8.2 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

38th of 141 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: 07/06/2026 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

What KeyBank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

KeyBank logo

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

View All KeyBank Jobs

Apply