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Quantitative Researcher Jobs in Ohio (NOW HIRING)

Design and execute qualitative and quantitative research studies to address critical business and innovation questions. * Utilize a variety of research methodologies including customer interviews ...

Product Researcher

Mason, OH · On-site

$35 - $39.95/hr

Product Researcher Location : Mason, OH Work Model : Onsite Hours : M-F normal business hours ... Contribute to the collection and analysis of both qualitative and quantitative data from various ...

Scientist / Senior Researcher - Proteomics Location: Mason, OH 45040 Pay Rate: $36.25/hour (W2 ... Use software tools (such as Skyline ) for quantitative proteomics data analysis. * Analyze data ...

Product Researcher

Mason, OH · On-site

$35 - $39.95/hr

Product Researcher Location : Mason, OH Work Model : Onsite Hours : M-F normal business hours ... Contribute to the collection and analysis of both qualitative and quantitative data from various ...

Product Researcher

Mason, OH · On-site

$35 - $39.95/hr

Product Researcher Location : Mason, OH Work Model : Onsite Hours : M-F normal business hours ... Contribute to the collection and analysis of both qualitative and quantitative data from various ...

Ability to perform data analysis, research, and draw business and financial insights through ... Quantitative Modeling and Advanced Analytics (QMAA) Responsible for ownership and development of ...

This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior ...

This role is responsible for leading quantitative analysis and portfolio research efforts, developing insights from internal and external data, and communicating actionable recommendations to senior ...

$64 - $98/hr

... quantitative Validierungen, Mixed‑Methods‑Pläne), eigenständig auf bekannten Themen und in Abstimmung bei strukturierenden Studien. Sie berichten an die [Head of Research / Head of Design ...

Showing results 41-60

Quantitative Researcher information

See Ohio salary details

$49.9K

$113.3K

$186.8K

How much do quantitative researcher jobs pay per year?

As of Sep 6, 2026, the average yearly pay for quantitative researcher in Ohio is $113,290.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,600.00 and $145,000.00 per year, depending on experience, location, and employer.

What is a quantitative researcher?

A quantitative researcher analyzes business data for an organization. Their job is to examine this data to develop improved business models and aid in financial decision-making. Typical job duties involve using market research and data collection to study trends or problems. They also compile their results into reports for upper management. A career as a quantitative researcher requires a degree in economics, mathematics, statistics, or a related field. Additional qualifications include communication skills, business experience, and knowledge of relevant statistical tools and computer software.

What are the key skills and qualifications needed to thrive as a quantitative researcher?

To thrive as a Quantitative Researcher, you need strong mathematical, statistical, and programming skills, often supported by an advanced degree in a quantitative field such as mathematics, statistics, physics, or computer science. Proficiency with technical tools like Python, R, MATLAB, SQL, and experience with data analysis platforms and machine learning libraries is typically required. Critical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights and collaborating with interdisciplinary teams. These competencies are crucial for developing robust models, extracting valuable patterns from large datasets, and driving data-informed decision-making.

What are some common challenges quantitative researchers face when working with large datasets, and how are they typically addressed?

Quantitative Researchers often encounter challenges such as data quality issues, computational limitations, and ensuring the reproducibility of their analyses when working with large datasets. To address these, they rely on efficient data cleaning techniques, leverage high-performance computing resources, and use version control tools for code and data. Collaborating closely with data engineers and software developers is also common to streamline data pipelines and optimize analytical workflows.

Do I need a PhD to be a quantitative researcher?

A PhD is often preferred for quantitative researcher roles, especially in finance or academia, as it demonstrates advanced analytical and statistical skills. However, some positions may accept candidates with a master's degree or equivalent experience in mathematics, statistics, or related fields, along with strong programming skills in tools like Python or R.

What are the most commonly searched types of Quantitative Researcher jobs in Ohio?

The most popular types of Quantitative Researcher jobs in Ohio are:

What are popular job titles related to Quantitative Researcher jobs in Ohio?

For Quantitative Researcher jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Quantitative Researcher jobs in Ohio look for?

The top searched job categories for Quantitative Researcher jobs in Ohio are:

What cities in Ohio are hiring for Quantitative Researcher jobs?

Cities in Ohio with the most Quantitative Researcher job openings:

What are popular job titles related to Quantitative Researcher jobs in OH?

For Quantitative Researcher jobs in OH, the most frequently searched job titles are:

Infographic showing various Quantitative Researcher job openings in Ohio as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 76% Physical, 4% Hybrid, and 20% Remote job distribution, with an average salary of $113,290 per year, or $54.5 per hour.

Quant Analytics Associate Sr - DART

J.P. Morgan

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 8 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join our team as a senior quantitative analytics associate, where you'll collaborate with business partners to design innovative, automated solutions using cutting-edge technologies, driving operational efficiency in a dynamic, learning-focused environment.       

As a Quant Analytics Associate Senior  within DART (Data, Analytics and Reporting Team), you will play a crucial role in the DART MIS (Management Information System) setup and will be tasked with delivering effective business solutions. You will collaborate closely with various stakeholders and management levels to ensure the delivery of the most optimal solutions. As a member of the DART team you will leverage a broad technology suite to implement automated solutions and deliver data driven insights.

Job Responsibilities

  • Own end-to-end MIS solution delivery: requirements gathering, metric definition, source data acquisition, modeling, transformation, validation, and visualization.
  • Design and build reliable ELT/ETL pipelines in Python/SQL; implement orchestration, version control, and CI/CD to ensure repeatability and resilience.
  • Create executive-ready dashboards and self-service data marts (e.g., Tableau) with intuitive UX and clear metric definitions.
  • Apply advanced analytics (forecasting/time series, anomaly detection, segmentation, queuing/capacity planning) to optimize operational performance
  • Implement data quality frameworks (unit/integration tests, validation checks, anomaly monitoring), define SLAs/SLOs, and maintain runbooks.
  • Translate complex findings into concise narratives for senior stakeholders; influence decisions with data-backed recommendations.
  • Identify risks opportunities proactively, and value-unlock levers in operational processes; drive innovation in data management and automation.
  • Manage the book of work, prioritize initiatives, and deliver projects on time; lead cross-functional teams as SME and mentor junior colleagues.
  • Adhere to data governance, privacy, and control standards; ensure audit readiness, reproducibility, and clear documentation.
     

Required Qualifications, Capabilities, and Skills

  • 5+ years of hands-on analytics experience delivering measurable business improvements, with a strong track record in operations analytics or MIS within complex environments.
  • Bachelor's degree in a quantitative or technical field (Economics, Engineering, Physical Sciences, Mathematics, Operations Research, Statistics, Computer Science).
  • Expert-level SQL (complex joins, window functions, CTEs, performance tuning) and strong Python (pandas, NumPy; unit testing with pytest; structured logging; packaging).
  • Proven experience building automated data pipelines and operating in data lake/cloud environments (Snowflake; AWS services such as S3, Glue, Lambda; or equivalent).
  • Strong data visualization experience (Tableau or equivalent), including KPI design, dashboard UX, and audience-specific storytelling.
  • Working knowledge of machine learning and applied statistics for operations use cases (time series forecasting, supervised/unsupervised methods, feature engineering).
  • Familiarity with data wrangling tools (e.g., Alteryx) and, as applicable, R for statistical analysis.
  • Excellent verbal and written communication skills - able to synthesize complex analyses into concise executive narratives and visuals.
  • Demonstrated ability to collaborate across functions and levels; influence decisions; and drive adoption of data solutions.

Preferred Qualifications, Capabilities, and Skills

  • Banking industry experience and domain knowledge in Consumer & Community Bank (CCB) Operations (e.g., servicing/contact centers, payments/claims, fraud/disputes, collections) and workforce/capacity planning.
  • Experience with experimentation and causal methods (A/B testing design, uplift modeling, causal inference frameworks).
  • Modern data engineering practices: orchestration (Airflow or equivalent), transformation frameworks (dbt), API integrations, and containerization (Docker) or comparable tooling
  • Performance and cost optimization in cloud data platforms; query/profile tuning for large-scale datasets.
  • Exposure to risk and control frameworks; model documentation; audit and lineage standards in regulated environments.
  • Certifications (e.g., AWS Data/Analytics, Snowflake, Tableau).
     

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.