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Applied Math Jobs in New York (NOW HIRING)

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics * 1+ years of work experience in systematic alpha ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications [choose correct set ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications * PhD in Computer ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications [choose correct set ...

S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer ...

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Applied Math information

See New York salary details

$24.6K

$64.4K

$103.4K

How much do applied math jobs pay per year?

As of Jul 13, 2026, the average yearly pay for applied math in New York is $64,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $76,600.00 per year, depending on experience, location, and employer.

What are the highest paying jobs in applied mathematics?

High-paying jobs in applied mathematics include roles such as quantitative analyst, data scientist, operations research analyst, and financial engineer, often requiring strong programming skills and advanced degrees. These positions typically offer salaries exceeding $100,000 annually, especially in finance, technology, and consulting industries.

Is applied math a useful degree?

Applied math is a useful degree for careers in data analysis, finance, engineering, and research, as it develops skills in problem-solving, modeling, and quantitative analysis. Graduates often work with tools like programming languages and statistical software, and the degree provides a strong foundation for various technical roles.

What jobs can you get with an applied maths degree?

Applied mathematics graduates can pursue roles such as data analyst, operations researcher, financial analyst, actuary, or software developer. These jobs often require strong analytical, problem-solving, and programming skills, and may involve working with statistical software or modeling tools in various industries like finance, technology, or healthcare.

What are applied math careers?

Applied math careers involve using mathematical methods and models to solve real-world problems across industries such as finance, engineering, data analysis, and technology. Professionals in this field often work with programming tools, statistical software, and data analysis techniques to develop solutions and support decision-making.

What are applied mathematicians?

Applied mathematicians are professionals who use mathematical theories, techniques, and computational methods to solve practical problems in fields such as engineering, science, business, and industry. They often develop models to analyze real-world phenomena, optimize processes, and predict outcomes. Applied mathematicians may work in diverse areas like data analysis, operations research, finance, and computer science, collaborating with experts from other disciplines to address complex challenges.

What is the difference between Applied Math vs Data Analyst?

AspectApplied MathData Analyst
Required CredentialsBachelor's or higher in Mathematics, Applied Math, or related fieldsBachelor's or higher in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, academia, finance, engineeringBusiness, finance, healthcare, marketing
Industry UsageModeling, simulations, algorithm developmentData interpretation, reporting, visualization
Common Search/ComparisonApplied Math vs Data Analyst

Applied Math and Data Analysts often share skills in statistical analysis and problem-solving. However, Applied Math focuses more on developing mathematical models and algorithms, while Data Analysts primarily interpret and visualize data to inform business decisions. Both roles are vital across industries, but their daily tasks and focus areas differ significantly.

What are some typical projects or problems an applied mathematician may work on within a multidisciplinary team?

Applied mathematicians often collaborate with experts from fields such as engineering, computer science, and finance to tackle real-world challenges. For example, they might develop algorithms for optimizing logistics and supply chains, create mathematical models to predict disease spread in healthcare, or analyze large data sets to inform business strategies. This collaboration typically involves regular meetings, data sharing, and iterative problem solving, making strong communication skills and adaptability essential for success in the role.

What are the key skills and qualifications needed to thrive as an Applied Mathematician, and why are they important?

To thrive as an Applied Mathematician, you need strong mathematical modeling, analytical, and problem-solving skills, usually supported by a degree in mathematics, applied mathematics, or a related field. Familiarity with programming languages (such as Python, MATLAB, or R), statistical software, and computational tools is typically required. Excellent communication, teamwork, and critical thinking abilities help translate complex mathematical concepts for diverse audiences and collaborative projects. These skills are vital for developing solutions to real-world problems across industries, ensuring accuracy, innovation, and practical impact.
What are popular job titles related to Applied Math jobs in New York? For Applied Math jobs in New York, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in New York look for? The top searched job categories for Applied Math jobs in New York are:
What cities in New York are hiring for Applied Math jobs? Cities in New York with the most Applied Math job openings:
Infographic showing various Applied Math job openings in New York as of July 2026, with employment types broken down into 76% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $64,370 per year, or $30.9 per hour.
Equity Quantitative Researcher

Equity Quantitative Researcher

Point72

New York, NY โ€ข On-site

Full-time

Re-posted 6 days ago


Job description

ROLE/RESPONSIBILITES
  • Perform rigorous and innovative research to discover systematic anomalies in equity market
  • End-to-end development: alpha idea generation, data processing, strategy backtesting, optimization and production implementation
  • Identify and evaluate new datasets for stock return predictions
  • Maintain and improve the portfolio trading in production environment

REQUIREMENTS
  • MS or PhD in physics, engineering, statistics, applied math, quantitative finance or other quantitative fields with a strong foundation in statistics
  • 1+ years of work experience in systematic alpha research in equities
  • Experience developing short term alpha signals (intraday or a few days) is a plus
  • Demonstrated proficiency in R or Python
  • Strong command of foundations of applied statistics, linear algebra, and time series models
  • Ability to quickly and efficiently scrub, format, and manipulate large, raw data sources
  • Strong knowledge of financial markets
  • Highly motivated, willing to take ownership of his/her work
  • Collaborative mindset with strong independent research ability