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Applied Math Jobs in New York (NOW HIRING)

Amazon

Applied Scientist

Newark, NJ · On-site

Machine Learning, Computer Science, Computer Engineering, Data Science, Applied Math, or a related quantitative field - 3+ years of experience in Deep Learning, Natural Language - Processing ...

Quanta Search

QR Lead for a hedge fund

Manhattan, NY

Graduate degree in Applied Math, Statistics/ML, Computer Science/Engineering, or similar * Proficiency in C++ with demonstrable experience building large-scale production applications * Proficiency ...

Point72

Equity Quantitative Researcher

New York, NY

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 ...

Point72

Equity Quantitative Researcher

New York, NY · On-site

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 ...

Quanta Search

QR Lead for a hedge fund

Manhattan, NY · On-site

Graduate degree in Applied Math, Statistics/ML, Computer Science/Engineering, or similar * Proficiency in C++ with demonstrable experience building large-scale production applications * Proficiency ...

Capital One

Applied Researcher II

New York, NY · On-site

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 ...

Capital One

Applied Researcher II

Manhattan, NY

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 ...

Capital One

Applied Researcher II

New York, NY · On-site

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 ...

Capital One

Applied Researcher II

Manhattan, NY

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 ...

Capital One

Applied Researcher II

New York, NY · On-site

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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All JobsApplied Math JobsApplied Math Jobs in New York

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 Jun 16, 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 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:
Applied Math jobs near you
Infographic showing various Applied Math job openings in New York as of June 2026, with employment types broken down into 78% Full Time, 11% Contract, and 11% Nights. Highlights an 100% In-person job distribution, with an average salary of $64,370 per year, or $30.9 per hour.
Applied Artificial Intelligence/ Machine Learning Lead - Vice President

Applied Artificial Intelligence/ Machine Learning Lead - Vice President

Chase

Jersey City, NJ

Other

Posted 9 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

Applied AI/ML Vice President

As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory, from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services, with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.

Job Responsibilities:

  • Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
  • Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning— across client service, risk, and operational efficiency use cases
  • Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
  • Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
  • Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
  • Mentor junior data scientists and help set technical standards for the team
  • Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide

Required qualifications, capabilities, and skills:

  • Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
  • At least 5 years of hands-on ML experience in production environments.
  • Deep expertise in NLP, including modern LLM fine-tuning, RAG pipelines, prompt engineering and the design and deployment of multi-step AI agents
  • Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit-learn and other libraries
  • Experience with large-scale data processing: Spark, Hive, SQL
  • Proven ability to communicate technical work to non-technical stakeholders

Preferred qualifications, capabilities, and skills:

  • Financial services experience

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