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Phd Quant Jobs in Ohio (NOW HIRING)

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science ...

Quant Analytics Manager

Columbus, OH · On-site

$118K - $175K/yr

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science ...

As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to ... PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science ...

PhD or Master degree in physics or in other relevant field with at least 5 years' experience in ... Expertise in quantitative image reconstruction (nuclear medicine images) * Expertise in internal ...

PhD or Master degree in physics or in other relevant field with at least 5 years' experience in ... Expertise in quantitative image reconstruction (nuclear medicine images) * Expertise in internal ...

Quantitative Modeler Manager - AML

Columbus, OH · On-site

$53 - $68.50/hr

Basic Qualificati ons - Bachelor's degree in a quantitative field, and 10 or more years of relevant experience OR - MA/MS in a quantitative field, and six or more years of related experience OR - PhD ...

$34.50 - $43.25/hr

Skills in qualitative and quantitative research methods. * Ability to proactively manage and drive projects. Experience: Research experience from PhD program, required. Physical Requirements:

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Phd Quant information

See Ohio salary details

$93.2K

$161.4K

$246.7K

How much do phd quant jobs pay per year?

As of Aug 6, 2026, the average yearly pay for phd quant in Ohio is $161,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $189,200.00 per year, depending on experience, location, and employer.

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What are the key skills and qualifications needed to thrive as a PhD Quant?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, engineering, and computer science, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming proficiency in languages such as Python or C++, and a deep understanding of financial models. PhDs are valued for their research experience and ability to handle complex data analysis in a fast-paced environment.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

What are popular job titles related to Phd Quant jobs in Ohio? For Phd Quant jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Phd Quant jobs? Cities in Ohio with the most Phd Quant job openings:
Infographic showing various Phd Quant job openings in Ohio as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $161,360 per year, or $77.6 per hour.

Quant Analytics Manager

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Re-posted 27 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 492 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Are you passionate about understanding customer needs and driving innovation through data? Join our Consumer Banking Customer Analytics team, where you'll collaborate with creative thinkers and problem solvers to deliver impactful research and insights. This role offers significant opportunities for career growth, skill development, and the chance to make a real difference for our customers and business.

Job Summary:
As a Quant Analytics Manager on the Customer Segmentation & Research team, you will guide end-to-end quantitative studies that inform product and business strategy. You'll leverage your expertise in SQL, Python, and statistical methods to analyze diverse datasets, synthesize findings, and deliver executive-quality insights. Your work will help shape the next generation of research, drive process improvements, and foster a culture of empathy and innovation. You'll partner closely with product leadership, senior business executives, and cross-functional teams to champion user experience and integrate research into design and development.

Key Responsibilities:

  • Lead quantitative research studies, including survey and big data analysis
  • Collaborate with internal and external stakeholders, including senior executives
  • Drive process improvements and contribute to the vision for research
  • Communicate findings clearly and deliver top-quality insights
  • Champion user experience research and integrate into product development
  • Train and mentor junior team members

Required Qualifications, Capabilities, and Skills:

  • 5+ years of experience planning and executing user research studies
  • Strong programming skills in SQL and/or Python; experience with large datasets
  • Proficient in statistical concepts and methods
  • Strong analytical, problem-solving, and communication skills
  • Experience mentoring and training junior team members
  • Ability to drive multiple initiatives with minimal guidance
  • Familiarity with banking and finance preferred
  • Experience with B2B research a plus

Preferred Skills and Qualifications:

  • PhD/Master or equivalent in Statistics, Mathematics, Computer Science, Data Science, Social Science, or relevant fields

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

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.

The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm's data sharing principles of security, customer control and convenience, and privacy.

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