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Applied Math Jobs in Philadelphia, PA (NOW HIRING)

Chipton Ross

Software Engineer

Camden, NJ · On-site

Demonstrated analytical, applied mathematics and problem-solving skills * Strong written and oral communication skills * Strong technical documentation skills * Active Secret or higher Clearance.

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All JobsApplied Math JobsApplied Math Jobs in Philadelphia, PA

Applied Math information

See Philadelphia, PA salary details

$21.7K

$56.9K

$91.3K

How much do applied math jobs pay per year?

As of Jun 9, 2026, the average yearly pay for applied math in Philadelphia, PA is $56,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $67,600.00 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 Philadelphia, PA? For Applied Math jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Applied Math jobs in Philadelphia, PA look for? The top searched job categories for Applied Math jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Applied Math jobs? Cities near Philadelphia, PA with the most Applied Math job openings:
Applied Math jobs near you
Infographic showing various Applied Math job openings in Philadelphia, PA as of June 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Nights. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $56,859 per year, or $27.3 per hour.
Faculty Fellow

Faculty Fellow

Susquehanna International Group, LLP

Philadelphia, PA • On-site

$49K - $67K/yr

Full-time

Posted 29 days ago

Job description

Overview
Susquehanna is launching a 12-18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment - collaborating with teams at the frontier of quantitative trading.
At Susquehanna, our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights - driving data-informed decisions from predictive modeling to strategic execution.
What you'll do
  • Conduct applied machine learning research using large-scale, real-world financial datasets
  • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance
  • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems
  • Contribute to the design of robust, high-performance ML infrastructure
  • Explore research directions aligned with your interests, with flexibility in scope and duration
  • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work
  • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems

What we're looking for
  • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems
  • Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax
  • Intellectual curiosity, adaptability, and a collaborative mindset

Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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