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Quantitative Finance Jobs in Ohio (NOW HIRING)

Python Developer

Columbus, OH · On-site

$47 - $64.75/hr

Quantitative finance * Python * Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications, e.g. HTML, CSS ...

Essential Functions Design, Develop, Implement, Maintain, and Execute complex financial models used ... quantitative activities Review academic and industry research, present summaries to partners and ...

The person in this role will join a team of Financial Intelligence Unit (FIU) quantitative analysts responsible for the ongoing monitoring, testing, analytical review, and governance of AML ...

Helping the customers and businesses we serve to make better and smarter financial decisions and ... in a quantitative field, and three or more years of relevant experience OR - MA/MS in a ...

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Quantitative Finance information

See Ohio salary details

$29.5K

$86.1K

$138.8K

How much do quantitative finance jobs pay per year?

As of Sep 2, 2026, the average yearly pay for quantitative finance in Ohio is $86,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $113,100.00 per year, depending on experience, location, and employer.

What is quantitative finance?

Quantitative finance is a field that uses mathematical models, statistics, and computational techniques to analyze financial markets and securities. Professionals in this area, known as 'quants,' develop algorithms and models to price assets, manage risk, and optimize investment strategies. Quantitative finance plays a critical role in investment banks, hedge funds, asset management firms, and financial technology companies. The field requires strong skills in mathematics, programming, and finance.

What are the key skills and qualifications needed to thrive in quantitative finance?

To thrive in Quantitative Finance, you need strong mathematical, statistical, and analytical skills, typically supported by an advanced degree in mathematics, finance, engineering, or a related field. Proficiency with programming languages like Python, R, or C++, as well as experience with financial modeling and platforms such as MATLAB or Bloomberg Terminal, is highly valued. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating on complex financial projects. These skills enable professionals to develop and implement sophisticated models that drive informed investment decisions and risk management in high-stakes financial environments.

What are some common challenges faced by professionals in quantitative finance roles, and how can they be addressed?

Professionals in quantitative finance often encounter challenges such as managing large and complex data sets, staying updated with rapidly evolving financial models, and ensuring accurate risk assessment in volatile markets. Collaboration with technology and trading teams is crucial to develop robust algorithms and implement models effectively. Continuous learning and adaptability are key, as the field demands keeping pace with new programming languages, statistical methods, and regulatory changes.

What is the difference between Quantitative Finance vs Quantitative Analysis?

AspectQuantitative FinanceQuantitative Analysis
Required CredentialsDegree in Finance, Mathematics, or related fields; often CFA or FRM certificationsDegree in Mathematics, Statistics, or Finance; certifications like CFA are common
Work EnvironmentFinancial institutions, hedge funds, investment banksAsset management firms, banks, trading desks
Employer & Industry UsageFocuses on developing trading strategies, risk management, and financial modelingAnalyzes data to inform trading decisions, risk assessment, and investment strategies

Quantitative Finance and Quantitative Analysis share overlapping skills and credentials, but Quantitative Finance emphasizes developing financial models and trading strategies, while Quantitative Analysis focuses on data analysis to support investment decisions. Both roles are vital in finance but serve different primary functions.

What jobs can you get with quantitative finance?

With a background in quantitative finance, common roles include quantitative analyst, risk manager, financial engineer, algorithmic trader, and data scientist. These positions typically require strong skills in mathematics, programming, and financial modeling, often utilizing tools like Python, R, or MATLAB, and may require relevant certifications such as CFA or FRM.

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

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

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

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

What cities in Ohio are hiring for Quantitative Finance jobs?

Cities in Ohio with the most Quantitative Finance job openings:

Infographic showing various Quantitative Finance job openings in Ohio as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $86,113 per year, or $41.4 per hour.

Quantitative Model Analyst - Treasury

US Bank

Cincinnati, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


U.S. Bank rating

8.1

Company rating: 8.1 out of 10

Based on 363 frontline employees who took The Breakroom Quiz

65th of 174 rated banks


Job description

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

Corporate Treasury is a division within the CFO group responsible for providing executive management with accurate, timely, and comprehensive forecasts of the balance sheet and net interest income (NII).

Another critical Treasury function is the measurement and analysis of Interest Rate Risk (IRR). This information provides the framework for the company to position its balance sheet in line with its risk appetite and expectations for changes in interest rates.

Corporate Treasury's Asset & Liability Management Quantitative Finance group supports these efforts by developing quantitative models and methods that link the Bank's balance sheet to the broader macroeconomic environment.

Our team is seeking a strong, decisive, and results-oriented quantitative analyst who will be responsible for building complex statistical models. These models may cover a variety of bank products and related functions and are used as part of Treasury's financial decision-making process.

Key responsibilities include developing and maintaining advanced statistical models used for balance sheet forecasting and interest rate risk analysis. This model development process is holistic and includes estimating, testing, documenting, implementing, and maintaining macroeconomic forecasting model frameworks.

The role also involves communicating modeling approaches and results to stakeholders across the bank. Deliverables include model development documentation such as presentations, written reports, model or reporting code documentation, business requirements, monitoring reports and related code, and procedures.

Basic Qualifications
- Bachelor's degree in a quantitative field, and five or more years of relevant experience
OR
- MA/MS in a quantitative field, and three or more years of related experience
OR
- PhD in a quantitative field, and less than two years of related experience

Preferred Skills/Experience

- Thorough knowledge of various regression techniques, parametric and non-parametric algorithms, times series techniques, and other statistical models, various model validation tests/methodologies, using Python or similar statistical package
- Thorough data compilation, programming skills and qualitative analysis skills
- Thorough knowledge of the quantitative and qualitative risk factors, industry risks, competition risks, and risk management approaches
- Advanced understanding of applicable regulatory rules, guidance, or supervisory letters
- Ability to manage multiple tasks across various timelines
- Strong analytical, organizational, problem-solving, negotiation, and project management skills

- Demonstrated independence, teamwork and leadership skills
- Effective interpersonal, verbal and written communication skills

LOCATION EXPECTATIONS: This role requires working from a U.S. Bank Location three (3) or more days per week.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to ourdisability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

  • Healthcare (medical, dental, vision)

  • Basic term and optional term life insurance

  • Short-term and long-term disability

  • Pregnancy disability and parental leave

  • 401(k) and employer-funded retirement plan

  • Paid vacation (from two to five weeks depending on salary grade and tenure)

  • Up to 11 paid holiday opportunities

  • Adoption assistance

  • Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about theE-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $105,400.00 - $124,000.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.


What U.S. Bank employees say

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About U.S. Bank

Sourced by ZipRecruiter

U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.

Industry

Banking and credit intermediation

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1863

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