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Quantitative Analytics Analyst Jobs Near Me

Northwest

Sr. Quantitative Analyst

Columbus, OH · On-site

... 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 ...

US Bank

Quantitative Model Analyst 2

Columbus, OH · On-site

The candidate will receive direction from their manager and other senior analysts, while also ... in a quantitative field, and three or more years of relevant experience OR - MA/MS in a ...

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How much do quantitative analytics analyst jobs pay per year?

As of Sep 5, 2026, the average yearly pay for quantitative analytics analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

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Quantitative Analytics Analyst jobs near you
A map of the United States highlighting the number of Quantitative Analytics Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Quantitative Analytics Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Quantitative Analytics Associate - Fraud Prevention Optimization Strategy

Next Frontier Capital

Columbus, OH • On-site

$80 - $100/hr

Other

Posted 4 days ago

Key responsibilities

  • Interpret and analyze complex data to identify risk dynamics, trends, and opportunities.

  • Manage, develop, and implement fraud strategies to reduce losses and improve customer experience.

  • Collaborate with cross-functional partners and communicate analysis findings to stakeholders.

Job description

Are you interested in joining a dynamic team? Become a Quantitative Analytics Associate on our Consumer and Community Banking (CCB) Fraud Prevention Optimization Strategy team to reduce cost of fraud and improve customer experience. The breadth of experiences, learnings, and connections in this role will enable your growth and development. To excel, you'll be highly motivated, highly analytical, extremely detail oriented, and an exceptional problem solver who takes pride in being part of an organization that owns customer issues from beginning to end and delivers accurate, timely solutions.

As a Quant Analytics Associate in our Fraud Prevention Optimization team you will focus on reducing cost of fraud, through complex analyses combined with business insights and collaboration. Your objective is reducing losses and / or operating expenses while balancing customer impact by optimizing business processes and decisioning. You will frequently interact and communicate with cross‑functional partners and present complex analysis succinctly to managers and executives. You will be provided an opportunity to be part of a dynamic team that is instrumental in protecting the bank by leveraging complex analytics and new tools like large language models to deliver sustainable, hard‑hitting business improvements.

Job Responsibilities
  • Interpret and analyze complex data to formulate problem statement, provide concise conclusions regarding underlying risk dynamics, trends, and opportunities.
  • Use advanced analytical & mathematical techniques to solve complex business problems.
  • Manage, develop, communicate, and implement optimal fraud strategies to reduce fraud related losses and improve customer experience across credit card fraud lifecycle.
  • Identify key risk indicators, develop key metrics, enhance reporting, and identify new areas of analytic focus to constantly challenge current business practices.
  • Provide key data insights and performance to business partners.
  • Collaborate with cross‑functional partners to solve key business challenges.
  • Assist team efforts in critical projects while providing clear and concise oral and written communication across various functions and levels.
  • Champion the usage of latest technology and tools, such as large language models, to drive value at scale across business organizations.
Required qualifications, capabilities, and skills
  • Bachelor’s degree in a quantitative field or 3 years risk management or other quantitative experience.
  • Background in Engineering, statistics, mathematics, or another quantitative field.
  • Advanced understanding of Python, SAS, and SQL.
  • Query large amounts of data and transform into actionable recommendations.
  • Strong analytical and problem‐solving abilities.
  • Experience delivering recommendations to leadership.
  • Self‑starter with ability to execute quickly and effectively.
  • Strong communication and interpersonal skills with ability to interact with individuals across departments/functions and with senior level executives.
Preferred qualifications, capabilities, and skills
  • MS degree in a quantitative field or 4 or more years risk management or other quantitative experience.
  • Hands on Knowledge of AWS and Snowflake.
  • Advanced analytical techniques like Machine Learning, Large Language Model Prompting or Natural Language Processing will be an added advantage.
Equal Employment Opportunity Statement

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.

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