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Phd Python Jobs in New York (NOW HIRING)

Magnite

Data Scientist (PhD)

New York, NY · On-site

$125K - $135K/yr

Python fluency. * A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.) * Mathematical and statistical fluency. (Should be comfortable with ...

Magnite

Data Scientist (PhD)

New York, NY · Hybrid

$125K - $135K/yr

Python fluency. * A PhD in a STEM field with a computational focus. (Both physical and social scientists are encouraged to apply.) * Mathematical and statistical fluency. (Should be comfortable with ...

Quanta Search

Equity Derivatives Quant

Manhattan, NY · On-site

C++, Python). Must have excellent written and verbal communication skills. This position offers competitive compensation and an opportunity for career advancement. NB: PhD in Computer Science is ...

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What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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Infographic showing various Phd Python job openings in New York as of May 2026, with employment types broken down into 64% Full Time, 34% Part Time, and 2% Contract. Highlights an 63% Physical, 8% Hybrid, and 29% Remote job distribution.

Machine Learning Researcher (PhD) - Systematic Commodities Hedge Fund

Moreton Capital Partners

New York, NY • On-site

Full-time

Medical, Life, PTO

Posted 9 days ago

Job description

Immediate Start - Machine Learning Researcher (PhD) - Systematic Commodities Hedge Fund
Moreton Capital Partners is rapidly expanding and seeking a talented Machine Learning Researcher to help design and improve the predictive models that power our systematic commodities trading strategies in our Mexico City Office.
We trade global commodity futures using machine learning, alternative data, and institutional-grade portfolio construction. Our edge comes from research depth, disciplined experimentation, and robust production systems.
This role is for candidates completing or having recently completed a PhD with a strong machine learning, statistics, or applied mathematics focus who want to apply advanced research in a real capital environment. You will work directly with the CIO and sit alongside a world class international quant research team to turn cutting-edge ML ideas into live trading signals. Your research will ship to production and directly impact portfolio returns.
This is not a purely academic role. We're looking for someone ready to hit the ground running and available to start immediately. In return, we offer a competitive salary, substantial performance share, comprehensive benefits, incredible work environment and a relocation package to make the move seamless.
What you will work on
  • Designing predictive models for cross-sectional and time-series commodity returns
  • Developing new features from price, positioning, options, macro, and alternative datasets
  • Improving signal robustness and reducing overfitting through rigorous validation
  • Combining and blending multiple models into portfolio-level forecasts
  • Regime detection, meta-models, and adaptive allocation frameworks
  • Model diagnostics, explainability, and stability analysis
  • Translating research ideas into production-ready implementations
  • Collaborating with engineers to deploy models into live trading systems
Key Responsibilities
  • Formulate research hypotheses and test them using clean, time-aware ML pipelines
  • Build and evaluate models (tree-based, linear, ensemble, deep learning, etc.)
  • Run walk-forward and out-of-sample experiments with realistic costs
  • Analyze information coefficients, turnover, drawdowns, and risk-adjusted returns
  • Design feature engineering frameworks and reusable research tooling
  • Document findings clearly and communicate results to portfolio managers
  • Contribute to improving research standards, reproducibility, and processes

Requirements
  • PhD (completed or near completion) in Machine Learning, Statistics, Applied Mathematics, Computer Science, Physics, Engineering, or related quantitative field
  • Strong Python skills and experience with scientific computing stacks
  • Deep understanding of statistical learning and model validation
  • Experience working with large datasets and experimental pipelines
  • Ability to move from theory to practical implementation
  • Intellectual curiosity and strong problem-solving mindset
  • Comfortable working in a fast-paced, high-ownership environment
Bonus Points For
  • Experience with financial markets or systematic trading
  • Familiarity with time-series modelling or forecasting
  • Experience with LightGBM/XGBoost, deep learning, or ensemble methods
  • Exposure to portfolio construction or risk modelling
  • Experience with cloud or distributed compute environments
  • Published research or strong applied projects
Why this role is unique
  • Direct impact: your research drives live trading capital
  • Research freedom: explore ideas with fast feedback loops
  • Real-world data: large, messy, multi-source datasets
  • Small team: high ownership and rapid iteration
  • Strong learning curve across ML, markets, and portfolio construction
  • Clear path into Senior Researcher or Portfolio Manager responsibilities

Benefits
  • Market leading benefits
  • High responsibility from day one
  • Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.
  • Relocation package to our Mexico City office, along with a competitive benefits offering that includes health and life insurance, a year-end bonus, and generous paid time off.
  • Positive, inclusive and encouraging work environment.
  • Close collaboration across a global team.

Apply