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Quant Analytics Jobs in Columbus, OH (NOW HIRING)

Join our Distribution Analytics Strategy Team as a Quant Analytics Vice President and play a pivotal role in optimizing our Branch Network. This position offers significant opportunities for career ...

Quantitative Analyst

Columbus, OH · On-site

$77K - $90K/yr

The Quantitative Analyst will manage and support high-impact research projects, primarily focusing on survey design, consumer data analysis, and the synthesis of quantitative data to inform key ...

... analytics and communicate with the line-of-business and operations partners Utilize Microsoft ... quantitative activities Review academic and industry research, present summaries to partners and ...

... analytics and communicate with the line-of-business and operations partners Utilize Microsoft ... quantitative activities Review academic and industry research, present summaries to partners and ...

... analytics and communicate with the line-of-business and operations partners Utilize Microsoft ... quantitative activities Review academic and industry research, present summaries to partners and ...

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Quant Analytics information

See Columbus, OH salary details

$50.7K

$115.1K

$189.8K

How much do quant analytics jobs pay per year?

As of Jun 17, 2026, the average yearly pay for quant analytics in Columbus, OH is $115,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $147,300.00 per year, depending on experience, location, and employer.

What is the difference between Quant Analytics vs Data Analyst?

AspectQuant AnalyticsData Analyst
Required CredentialsDegree in finance, mathematics, or related fields; often requires programming skillsDegree in statistics, business, or related fields; may require basic programming knowledge
Work EnvironmentFinancial firms, hedge funds, investment banksCorporate, marketing, healthcare, and other industries
Job FocusDeveloping complex models for trading and risk managementInterpreting data to inform business decisions and reporting

Quant Analytics professionals focus on building advanced financial models and algorithms primarily in finance and trading environments. Data Analysts interpret and visualize data to support business strategies across various industries. While both roles involve data handling, Quant Analytics emphasizes quantitative modeling and programming, whereas Data Analysts focus on data interpretation and reporting.

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

To thrive in Quant Analytics, you need strong quantitative skills, advanced knowledge of mathematics and statistics, and often a degree in fields like mathematics, physics, engineering, or finance. Familiarity with programming languages such as Python, R, or MATLAB, as well as experience with data analysis tools and financial modeling software, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and conveying insights to stakeholders. These skills and qualities are vital for developing robust quantitative models that support informed decision-making in fast-paced financial environments.

What jobs pay $500,000 a year in the US?

Quantitative analysts, especially senior or lead roles in hedge funds, investment banks, and proprietary trading firms, can earn $500,000 or more annually through base salary, bonuses, and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management. Compensation varies based on performance, firm size, and market conditions.

What are Quant Analytics?

Quant Analytics, short for quantitative analytics, refers to the use of mathematical models, statistical methods, and computational techniques to analyze financial data and inform investment decisions. Professionals in this field, known as quantitative analysts or 'quants,' develop and implement algorithms for risk management, pricing, trading strategies, and portfolio management. Quant Analytics is widely used in banks, hedge funds, and investment firms to gain insights from large data sets and optimize financial performance. The role typically requires strong skills in mathematics, programming, and finance.

Is 30 too late to become a quant?

Quantitative analyst roles typically require strong backgrounds in mathematics, programming, and finance, often gained through advanced degrees or relevant experience. While starting a career at 30 is possible, it may require additional training or certifications such as a master's in financial engineering or data science to compete effectively in the field.

What jobs make $1,000,000 a year?

In the field of quantitative analytics, roles such as senior hedge fund quant, proprietary trader, or chief investment officer can earn $1,000,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and experience in financial modeling and risk management.

What does a quant analyst do?

A quant analyst uses mathematical models and statistical techniques to analyze financial data and develop trading strategies. They often work with programming languages like Python or R and tools such as Excel or MATLAB to identify market opportunities and manage risk. Their work supports investment decisions and requires strong analytical skills and knowledge of finance and mathematics.

How do Quant Analytics professionals typically collaborate with other teams within a financial institution?

Quant Analytics professionals often work closely with traders, risk managers, and software engineers to develop, implement, and refine quantitative models. They translate complex data into actionable insights, which may influence trading strategies or risk assessment. Effective communication and teamwork are essential, as quants must present their findings in a way that is understandable and useful to non-technical stakeholders. Collaboration is usually facilitated through regular meetings, code reviews, and joint problem-solving sessions.
What are popular job titles related to Quant Analytics jobs in Columbus, OH? For Quant Analytics jobs in Columbus, OH, the most frequently searched job titles are:
What cities near Columbus, OH are hiring for Quant Analytics jobs? Cities near Columbus, OH with the most Quant Analytics job openings:
Quant Analytics Manager

Quant Analytics Manager

JP Morgan Chase

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 6 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 470 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Job Description

Join our Distribution Analytics Strategy Team as a Quant Analytics Vice President and play a pivotal role in optimizing our Branch Network. This position offers significant opportunities for career growth, skill development, and the ability to drive impactful business decisions through advanced analytics. You'll collaborate with talented colleagues to develop innovative solutions that enhance customer engagement and support strategic investments in our branches.

As the Quant Analytics Vice President, you will lead the delivery of analytics and insights to inform strategies for network optimization, new branch development, the future role of branches, and ATM strategy. You will work closely with cross-functional teams-including finance, real estate, and product-to leverage both internal and external data sources. You will communicate findings to stakeholders, translating insights into measurable actions that drive business performance. You will partner across the Consumer and Community Bank to understand business needs, develop solutions, and champion analytics best practices. Your leadership will support strategic analysis, facilitate holistic cross-functional learning, and ensure high data quality and reduced redundancy.

Job Responsibilities

  • Build and foster partnerships across the organization to support Branch Network Optimization strategies.
  • Lead the design and execution of solutions that integrate data from multiple sources for strategic analytics and reporting.
  • Analyze branch engagement, customer behaviors, cross-LOB analytics, and performance to identify actionable insights.
  • Present insights to senior leaders through compelling written and oral presentations, influencing marketing strategy and investment decisions.
  • Collaborate with analytic and non-analytic teams to facilitate holistic, cross-functional learning.
  • Champion data and analytics best practices across the organization.

Required Qualifications, Capabilities, and Skills

  • Master's degree in a relevant quantitative field (e.g., Statistics, Economics, Analytics, Mathematics, or related).
  • 6+ years of industry experience in analytical roles (e.g., finance analytics, marketing analytics, customer insights).
  • 6+ years of hands-on experience with a broad range of analytics platforms, languages, and tools (e.g., Snowflake, Alteryx, SAS, Tableau, Python, Excel Pivot); experience with big data platforms required.
  • Excellent communication skills with the ability to convey complex information clearly and persuasively to business partners through 
  • Strong storytelling skills, especially through PowerPoint presentations.
  • Expert knowledge of quantitative methods for marketing analytics, including customer segmentation, targeting, and digital analytics.

Preferred Qualifications, Capabilities, and Skills

  • Experience leveraging Large Language Models (LLMs) and related AI technologies to drive business insights and process efficiencies.
  • Proven ability to design and implement solutions that integrate LLMs with enterprise data systems, enabling efficient, data-driven decision-making.
  • Strong programming skills in Python and familiarity with modern ML/NLP frameworks, with a focus on building scalable and secure analytics processes.

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 CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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