ZipRecruiter

Log In

1

Phd In Mathematics Jobs in New York (NOW HIRING)

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline. • 8-12 years of hands-on ...

previous pagenext page

Showing results 21-40

All JobsPhd In Mathematics JobsPhd In Mathematics Jobs in New York

Phd In Mathematics information

What is a PhD in Mathematics?

A PhD in Mathematics is the highest academic degree in the field of mathematics, typically awarded after several years of original research and advanced coursework. The program involves the completion of a dissertation that contributes new knowledge to mathematical theory or application. Graduates are prepared for careers in academia, research, industry, and government, where they can apply their expertise to solve complex problems or teach at a university level.

Is a PhD in mathematics worth it?

A PhD in mathematics prepares individuals for careers in academia, research, data analysis, and quantitative roles, often requiring strong problem-solving and analytical skills. While it can lead to high-level positions, it typically involves several years of study and may have limited direct industry applications compared to other degrees, making its value dependent on career goals.

What is the salary of a PhD in mathematics?

The salary of a PhD in mathematics varies depending on the industry, experience, and location. Typically, mathematicians with a PhD working in academia, research, or industry can expect salaries ranging from $70,000 to over $120,000 annually. Higher salaries are common in private sector roles such as data science, finance, or technology companies that require advanced quantitative skills.

What types of collaborative opportunities are available for someone with a PhD in Mathematics within academic or industry settings?

Individuals with a PhD in Mathematics often collaborate with professionals from various disciplines, such as computer science, engineering, economics, or biology, depending on their area of expertise. In academia, this may involve joint research projects, interdisciplinary teaching, or grant applications with faculty from other departments. In industry, mathematicians frequently work on teams with data scientists, engineers, or analysts to solve complex problems, optimize processes, or develop new technologies. These collaborations not only broaden the impact of mathematical research but also provide valuable professional networking and learning opportunities.

Are math PhDs in demand?

Math PhDs are in demand in fields such as academia, data science, finance, and technology, where advanced analytical and problem-solving skills are valued. They often find opportunities in research, consulting, and roles requiring quantitative expertise, with employment prospects improving as data-driven decision-making grows across industries.

What is the difference between Phd In Mathematics vs Data Scientist?

AspectPhd In MathematicsData Scientist
Required CredentialsDoctorate in Mathematics or related fieldBachelor's or Master's in Math, Statistics, CS, or related field; PhD preferred
Work EnvironmentAcademic, research institutions, or R&D departmentsCorporate, tech companies, finance, healthcare
Industry UsageResearch, academia, governmentBusiness analytics, machine learning, data analysis
Common Search IntentAcademic careers, research rolesData analysis, machine learning roles

While a Phd in Mathematics focuses on advanced research and theoretical work, a Data Scientist applies mathematical and statistical skills to analyze data and solve business problems. Both roles require strong quantitative skills, but Data Scientists often work in industry settings with a focus on practical data applications.

What are the key skills and qualifications needed to thrive as a PhD in Mathematics, and why are they important?

To thrive as a PhD in Mathematics, you need advanced mathematical reasoning, problem-solving abilities, and a deep understanding of mathematical theory, usually supported by a strong academic background and research experience. Familiarity with mathematical software (such as MATLAB, Mathematica, or Python for computational work) and experience with academic publishing are commonly required. Strong analytical thinking, perseverance, and effective communication skills help you excel in research, teaching, and collaboration. These skills are crucial for pushing the boundaries of mathematical knowledge and successfully sharing insights with both academic and broader audiences.
What are popular job titles related to Phd In Mathematics jobs in New York? For Phd In Mathematics jobs in New York, the most frequently searched job titles are:
What job categories do people searching Phd In Mathematics jobs in New York look for? The top searched job categories for Phd In Mathematics jobs in New York are:
What cities in New York are hiring for Phd In Mathematics jobs? Cities in New York with the most Phd In Mathematics job openings:
Phd In Mathematics jobs near you
Infographic showing various Phd In Mathematics job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution.

Machine Learning Researcher - PhD: 2027

Susquehanna International Group, LLP

New York, NY • On-site

$300K/yr

Full-time

Posted 18 days ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Research and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.
  • Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.
  • Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.
  • Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.
  • Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.
  • Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment
  • Visa sponsorship is available for this position

The annual base pay for this role is $300,000. Susquehanna considers factors such as scope and responsibilities of the position, work experience, education/training, key skills, as well as market and organizational considerations when extending an offer.
What we offer
  • Collaborate with a world-class team of researchers, engineers, and traders
  • Gain access to best-in-class financial data and high-performance computing resources
  • Directly impact real-time trading performance through your work
  • Thrive in a collaborative, intellectually rigorous environment with a global footprint

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.
#LI-CR1
#LI-Onsite

Apply