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Part Time Data Scientist Risk Jobs in Cincinnati, OH

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Part Time Teller

Cincinnati, OH · On-site

$14.42 - $24.04/hr

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Part Time Teller

Cincinnati, OH · On-site

$14.42 - $24.04/hr

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Managing Risk - Assessing and effectively managing all of the risks associated with their business ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions ... ESFM's clients include many household names from Life Science, Technology, Oil & Gas and ...

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Part Time Data Scientist Risk information

See Cincinnati, OH salary details

$36K

$117.8K

$188.5K

How much do part time data scientist risk jobs pay per year?

As of Jul 30, 2026, the average yearly pay for part time data scientist risk in Cincinnati, OH is $117,765.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,500.00 per year, depending on experience, location, and employer.

What are some unique challenges faced by part-time data scientists working in risk management roles?

Part-time data scientists in risk management often navigate challenges such as balancing workload within limited hours and ensuring timely delivery of critical analyses. Due to the high-stakes nature of risk assessment, they must prioritize tasks efficiently and maintain clear communication with full-time colleagues to stay aligned on evolving project needs. Additionally, they may need to quickly adapt to new data sources or regulatory requirements, making strong organizational skills and proactive learning essential. Collaboration with cross-functional teams, like compliance and engineering, is also key to ensuring comprehensive risk solutions.

What are the key skills and qualifications needed to thrive as a Part Time Data Scientist in Risk, and why are they important?

To thrive as a Part Time Data Scientist in Risk, you typically need expertise in statistics, data analysis, and programming languages like Python or R, along with a background in mathematics, statistics, or a related field. Familiarity with risk modeling tools, machine learning frameworks, and data visualization platforms such as SQL, TensorFlow, or Tableau is important. Strong problem-solving abilities, attention to detail, and clear communication help you translate complex data into actionable risk insights. These skills ensure accurate risk assessment and enable informed decision-making in dynamic business environments.

What does a Part Time Data Scientist in Risk do?

A Part Time Data Scientist in Risk analyzes data to help organizations identify, assess, and mitigate potential risks. They use statistical models, machine learning, and data visualization to uncover patterns that may signal financial, operational, or cybersecurity risks. Working part time, they may focus on specific projects such as fraud detection, credit scoring, or compliance monitoring. They collaborate with other teams to develop actionable insights and often create reports or dashboards to communicate their findings.
What are the most commonly searched types of Data Scientist Risk jobs in Cincinnati, OH? The most popular types of Data Scientist Risk jobs in Cincinnati, OH are:
What are popular job titles related to Part Time Data Scientist Risk jobs in Cincinnati, OH? For Part Time Data Scientist Risk jobs in Cincinnati, OH, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist Risk jobs in Cincinnati, OH look for? The top searched job categories for Part Time Data Scientist Risk jobs in Cincinnati, OH are:
What cities near Cincinnati, OH are hiring for Part Time Data Scientist Risk jobs? Cities near Cincinnati, OH with the most Part Time Data Scientist Risk job openings:

Data Reporting Analyst - Financial Institution Services

Great American Insurance Group

Cincinnati, OH • On-site

Full-time, Part-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Great American Insurance Group rating

8.8

Company rating: 8.8 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

57th of 299 rated insurance


Job description

Be Here. Be Great. Working for a leader in the insurance industry means opportunity for you. Great American Insurance Group's member companies are subsidiaries of American Financial Group. We combine a "small company" culture where your ideas will be heard with "big company" expertise to help you succeed. With over 30 specialty and property and casualty operations, there are always opportunities here to learn and grow.
At Great American, we value and recognize the benefits derived when people with different backgrounds and experiences work together to achieve business results. Our goal is to create a workplace where all employees feel included, empowered, and enabled to perform at their best.
Great American Financial Institution Services specializes in providing risk management and product enhancement programs to vehicle lenders and lessors, commercial equipment lenders, auto dealers and mortgage lenders throughout the U.S. and Canada. Target clients include commercial banks, credit unions, finance companies, buy-here pay-here dealers and leasing and rental concerns.
The Financial Institution Services division is hiring for a Data Reporting Analyst.The position offers hands-on exposure to pricing, underwriting, claims, product performance, and reporting while working closely with experienced data professionals and business partners.
Great American's culture is built on connection, shared learning, and strong relationships. To support this, employees in this role are expected to be onsite four days a week, with the flexibility to work one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by business needs.
Essential Job Functions and Responsibilities
• Supports research and data analysis for pricing, underwriting, claims, and product development initiatives.
• Reviews internal and external data sources to help identify trends, risks, and opportunities, with guidance from experienced team members.
• Prepares, updates, and validates schedules and reports for key metrics, including premiums, reserves, loss ratios, and policy benefits.
• Documents rating factors, data sources, and analytical steps clearly and consistently.
• Assists business stakeholders by preparing analyses, summaries, and materials that support decision-making.
• Creates clear reports, basic visualizations, and presentation materials for technical and non-technical audiences.
• Builds knowledge of company operations, systems, insurance products, actuarial concepts, and applicable industry practices.
• Performs other duties as assigned.
Job Requirements
• Education:Bachelor's degree in Actuarial Science, Mathematics, Statistics, Data Analytics, Economics, Finance, or a related quantitative field.
• Experience:Generally 0-2 years of relevant experience. Internship, co-op, academic project, insurance, finance, or data analysis experience is helpful.
• Technical skills:Strong Excel skills required. Exposure to programming, reporting, or data visualization tools such as Power BI, Tableau, Python, R, SQL, or similar tools is preferred.
• Analytical skills:Ability to work accurately with data, ask good questions, identify inconsistencies, and summarize findings clearly.
• Communication and collaboration:Ability to collaborate with actuaries, data professionals, underwriters, claims teams, and other business partners. Comfortable learning in a fast-paced environment and communicating with both technical and non-technical audiences.
Scope of Job / Qualifications
• Works on assignments of basic to moderate technical complexity, typically with direction, review, and coaching from more experienced team members.
• Applies established analytical approaches and gradually develops a deeper understanding of actuarial methods, company systems, product performance, and business context.
• Uses data to support practical recommendations, while escalating questions, assumptions, or unusual results for review.
• Demonstrates attention to detail, sound judgment, intellectual curiosity, and a willingness to learn new tools, processes, and insurance concepts.
Business Unit:
Financial Institution Services
Benefits:
We offer competitive benefits packages for full-time and part-time employees*. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits.
Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process. Learn more at http://www.gaig.com/careers.
*Excludes seasonal employees and interns.

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