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Mathematical Analyst Jobs in Georgia (NOW HIRING)

Norlox Solutions LLC

Data Analyst

Alpharetta, GA · On-site

Required Qualifications: · Bachelor's degree in Data Analytics, Computer Science, Statistics, Mathematics, Business Analytics, or a related field. · 2-5+ years of experience as a Data Analyst or in ...

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Rainbook

Bachelor's Degree in Finance, Mathematics, Computer Science or related academic degree * 2+ years programming experience * Experience working with portfolio analytics solutions Employment Type ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... in Mathematics, Economics, Computer Science, Information Management or Statistics Skills: SQL ...

KGS Technology Group Inc

Data Analyst

Alpharetta, GA · On-site +1

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... in Mathematics, Economics, Computer Science, Information Management or Statistics Skills: SQL ...

R2 Technologies Corporation

Data Analyst

Alpharetta, GA · On-site

Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field. * 3 years of experience applying data science, AI/machine learning, or analytics techniques to business ...

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How much do mathematical analyst jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for mathematical analyst in Georgia is $28.69, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $36.10 per hour, depending on experience, location, and employer.

What do mathematical analysts do?

Mathematical analysts apply advanced mathematical techniques to analyze data, develop models, and solve complex problems across various industries. They often use statistical software, programming languages, and mathematical theories to support decision-making and optimize processes.

What are some typical daily responsibilities of a mathematical analyst?

As a Mathematical Analyst, your daily responsibilities often include collecting and interpreting complex data sets, developing mathematical models to solve business or operational problems, and preparing reports or presentations to communicate your findings. You may work closely with data scientists, financial analysts, or engineers to integrate your analyses into larger projects. Regular tasks also involve using statistical software, validating model accuracy, and refining methods based on real-world feedback or new data. This variety ensures you play a critical role in decision-making processes and contribute measurable value to your organization.

What are the key skills and qualifications needed to thrive in the mathematical analyst position, and why are they important?

To thrive as a Mathematical Analyst, you need a strong background in advanced mathematics, statistical analysis, and quantitative modeling, typically supported by a relevant degree such as mathematics, statistics, or applied mathematics. Proficiency with software tools like MATLAB, R, Python, and data visualization platforms is often required, and certifications in data analysis or financial modeling can be advantageous. Exceptional problem-solving abilities, attention to detail, and strong communication skills help set top candidates apart in this field. These competencies are vital for accurately interpreting complex data, delivering insightful recommendations, and effectively collaborating with cross-functional teams.

What is a mathematical analyst?

A Mathematical Analyst applies mathematical techniques to solve complex problems, analyze data, and develop models for business, finance, science, and engineering. They use statistical methods, algorithms, and computational tools to interpret results and provide insights. Their work helps organizations make data-driven decisions, optimize processes, and improve efficiency. Mathematical Analysts often collaborate with other professionals, including data scientists, economists, and engineers, to create solutions for real-world challenges.

What are the most commonly searched types of Mathematical Analyst jobs in Georgia? The most popular types of Mathematical Analyst jobs in Georgia are:
What are popular job titles related to Mathematical Analyst jobs in Georgia? For Mathematical Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Mathematical Analyst jobs in Georgia look for? The top searched job categories for Mathematical Analyst jobs in Georgia are:
Mathematical Analyst jobs near you
Infographic showing various Mathematical Analyst job openings in Georgia as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $59,679 per year, or $28.7 per hour.

Quantitative Analyst, Quantitative Research

Intercontinental Exchange Holdings, Inc.

Atlanta, GA

Full-time

Re-posted 3 days ago

Job description

Overview

Job Purpose

The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.

Responsibilities

  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience

  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred

  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.
----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME

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