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Graduate Quant Jobs in Ohio (NOW HIRING)

Keybank

Quant Analytics Assoc - Model Risk

Cleveland, OH · Hybrid

$68K - $103K/yr

One year of relevant analytics or modeling experience, or a graduate degree in a related field ... of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive ...

KeyBank

Quant Analytics Assoc - Model Risk

Cleveland, OH · On-site

$68K - $103K/yr

One year of relevant analytics or modeling experience, or a graduate degree in a related field ... of quantitative modeling methods (including AI/ML algorithms) used for various risk predictive ...

Varsity Tutors

Statistics Graduate Level Tutor

Akron, OH · Remote

$18 - $40/hr

What We Look For In a Statistics Graduate Level Tutor * Advanced Subject Mastery: Deep knowledge of ... quantitative disciplines. * Effective Teaching Methods: Ability to identify concepts students ...

Varsity Tutors

GRE Tutor

Akron, OH · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

Varsity Tutors

GRE Tutor

Cleveland, OH · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

Varsity Tutors

GRE Tutor

Columbus, OH · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

Varsity Tutors

GRE Tutor

Cincinnati, OH · Remote

$23 - $40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion, sentence equivalence, reading comprehension), Quantitative Reasoning (arithmetic, algebra, geometry ...

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Graduate Quant information

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

To thrive as a Graduate Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a quantitative degree such as mathematics, physics, engineering, or computer science. Familiarity with programming languages like Python, C++, R, and financial modeling tools is usually expected, and knowledge of data analysis platforms is beneficial. Analytical thinking, attention to detail, and strong problem-solving abilities are standout soft skills for this role. These skills and qualities are crucial for building robust quantitative models and delivering actionable insights in fast-paced financial environments.

What are some typical challenges faced by Graduate Quants during their first year, and how can they effectively overcome them?

Graduate Quants often encounter challenges such as adapting to high-pressure environments, learning to communicate complex quantitative concepts to non-technical colleagues, and quickly mastering new financial models or programming languages. To overcome these hurdles, it's helpful to proactively seek feedback, collaborate closely with more experienced team members, and dedicate time to continual learning, both on the job and through self-study. Building strong relationships within the team and staying updated on industry trends can also ease the transition and foster professional growth.

What are Graduate Quants?

Graduate Quants, or Graduate Quantitative Analysts, are entry-level professionals who use mathematical, statistical, and computational techniques to analyze financial markets and help institutions make informed trading, investment, and risk management decisions. Typically, they have recently completed advanced degrees in fields like mathematics, physics, engineering, or finance. Graduate Quants often work in banks, hedge funds, or trading firms, applying quantitative models to solve complex financial problems. Their roles may include developing algorithms, conducting data analysis, and supporting senior quants with research and model implementation.

What is the difference between Graduate Quant vs Quant Analyst?

AspectGraduate QuantQuant Analyst
Required CredentialsDegree in Math, Finance, or related field; often entry-levelSame as Graduate Quant, but may require some experience
Work EnvironmentResearch-focused, training programs, junior rolesMore client-facing, strategy implementation, senior responsibilities
Employer & Industry UsageHedge funds, investment banks, asset managersFinancial institutions, trading firms, hedge funds
Search & Comparison IntentYes, often compared for entry-level rolesMore experienced, but related roles

The main difference between a Graduate Quant and a Quant Analyst lies in experience and responsibilities. Graduate Quants are typically entry-level, focusing on learning and research, while Quant Analysts have more experience and handle strategy implementation and client interactions. Both roles are common in finance and require strong quantitative skills, but the level of responsibility and experience distinguishes them.

What are popular job titles related to Graduate Quant jobs in Ohio? For Graduate Quant jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Graduate Quant jobs in Ohio look for? The top searched job categories for Graduate Quant jobs in Ohio are:
What cities in Ohio are hiring for Graduate Quant jobs? Cities in Ohio with the most Graduate Quant job openings:
Graduate Quant jobs near you
Graduate Research Assistant - Statistical Analysis (Student)

Graduate Research Assistant - Statistical Analysis (Student)

Case Western Reserve University

Cleveland, OH • On-site

Full-time

Posted 17 days ago

Case Western Reserve University rating

8.8

Company rating: 8.8 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

34th of 539 rated colleges and universities

Job description

Description
The Marian K. Shaughnessy Nurse Leadership Academy at the Frances Payne Bolton School of Nursing, Case Western Reserve University, is seeking graduate students currently pursuing a Master of Science in Statistics to assist with data analysis and research support for nurses in Hong Kong. These nurses are working on evidence-based or research-focused projects, and the selected graduate students will play a crucial role in analyzing and interpreting the data they have collected.
Key Responsibilities:
  • Work directly with nurses in Hong Kong on various evidence-based or research-focused projects.
  • Assist in cleaning and checking data to ensure accuracy and integrity.
  • Help nurses define variables of interest for their research.
  • Conduct quantitative analysis for each assigned project, including descriptive statistics (means, standard deviations, frequencies), t-tests, Mann-Whitney U-test, Pearson correlation coefficients, and multiple regressions.
  • Perform qualitative analysis, as needed for each assigned project, including content analysis and coding using NVivo15 software.
  • Assist with the interpretation of project results and findings.
  • Provide remote support, coordinating work around your own schedule.

Job Details:
  • Remote work with flexible scheduling options.
  • Each project is anticipated to require 4-5 hours of work maximum.
  • Opportunity to gain experience in healthcare research and international collaboration.

Qualifications
  • Must be enrolled in the Master of Science or PhD in Statistics program at Case Western Reserve University.
  • Strong proficiency in statistical analysis and quantitative methods is required as this will be the majority of the work.
  • Experience with SPSS is required.
  • Experience with R and RStudio for statistical analysis is preferred but not required.
  • Experience with qualitative analysis, particularly using NVivo15 software, is preferred but not required.
  • Attention to detail and the ability to clean and manage data effectively is essential.
  • Strong written and verbal communication skills for collaborating with nursing professionals.
  • Ability to work independently, manage tasks efficiently, and meet deadlines with minimal supervision.

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