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Statistical Learning Jobs in New York (NOW HIRING)

Systematic Equity Trader

New York, NY · On-site

$150K - $225K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...

Job Title: Statistical Data Scientist Job Location: Edison Job Type: Contract * Design, develop ... Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN for time series forecasting ...

Quantitative Developer

New York, NY · On-site

$350K/yr

  • Medical

Strong understanding of machine learning, statistical learning, or deep learning methods and technologies * Performance tuning/optimization of software and algorithms * Exposure to high-performance ...

Quantitative Developer

New York, NY · On-site

$350K/yr

  • Medical

Strong understanding of machine learning, statistical learning, or deep learning methods and technologies * Performance tuning/optimization of software and algorithms * Exposure to high-performance ...

Systematic Equity Trader

Manhattan, NY · On-site

$150 - $225/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Utilize sound financial insight and statistical learning techniques to explore, analyze, and harness a wide range of datasets building predictive models. * Design and implement short-term trading ...

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Showing results 21-40

Statistical Learning information

What are the key skills and qualifications needed to thrive as a statistical learning specialist?

To thrive as a Statistical Learning Specialist, you need a strong background in statistics, probability, and machine learning, typically supported by an advanced degree in statistics, mathematics, computer science, or a related field. Expertise with programming languages such as Python or R, experience with statistical software (e.g., SAS, MATLAB), and familiarity with data analysis libraries are essential. Critical thinking, problem-solving, and effective communication skills help translate complex data insights into actionable business strategies. These competencies are crucial for extracting meaningful patterns from data and driving data-informed decision-making.

How do professionals in statistical learning typically collaborate with data scientists and domain experts on projects?

Professionals in statistical learning often work closely with data scientists and domain experts to ensure that the models they develop are both statistically sound and practically relevant. Collaboration usually involves joint problem definition, sharing data insights, and iterative feedback on model performance. Statistical learning experts contribute their knowledge of algorithms and statistical methods, while data scientists handle data pre-processing and engineering, and domain experts provide context to interpret results. This multidisciplinary teamwork helps ensure that solutions are robust and actionable for stakeholders.

What is the difference between Statistical Learning vs Data Analyst?

AspectStatistical LearningData Analyst
Required CredentialsDegree in Statistics, Data Science, or related fieldsDegree in Statistics, Data Science, Business, or related fields
Work EnvironmentResearch, academia, tech companies, data science teamsBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageTech firms, research institutions, startupsCorporations, consulting firms, government agencies
Common Search & ComparisonStatistical Learning vs Data Analyst

Statistical Learning focuses on developing models and algorithms to understand data patterns, often requiring advanced statistical and programming skills. Data Analysts interpret data to generate reports and insights, typically emphasizing data visualization and business understanding. While both roles analyze data, Statistical Learning is more research-oriented and technical, whereas Data Analysts focus on practical data interpretation for decision-making.

What will I become if I study statistical learning?

Studying statistical learning can lead to roles such as data scientist, data analyst, machine learning engineer, or statistician. These positions involve analyzing data, building predictive models, and applying statistical methods using tools like R or Python in various industries.

What cities in New York are hiring for Statistical Learning jobs?

Cities in New York with the most Statistical Learning job openings:

Infographic showing various Statistical Learning job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Quantitative Researcher, Quantitative Strategies

Millennium Management LLC

New York, NY • On-site

$150K - $200K/yr

Full-time

Re-posted 23 days ago


Millennium Management rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Quantitative Researcher, Quantitative Strategies
Please direct all resume submissions to QuantTalentUS@mlp.com and reference REQ-29446 in the subject.
Job Description
We are seeking a Quantitative Researcher to join a small, collaborative team focused on systematic equity strategies. This role offers the opportunity to contribute across the full research lifecycle, including idea generation, data sourcing, signal development, model implementation, backtesting, and live strategy refinement, with forecasting horizons spanning intraday to several weeks.
Location
New York
Principal Responsibilities
  • Partner closely with the SPM and team on alpha research for systematic equity strategies
  • Generate and test new ideas using financial intuition, statistical learning, and large, diverse datasets
  • Integrate Agentic AI workflows where they can improve productivity, model development, or operational robustness
  • Source, clean, and analyze alternative, fundamental, and market microstructure data
  • Build predictive models and contribute to signal combination, portfolio implementation, and ongoing model refinement
  • Work in a transparent, collaborative environment with exposure to the broader investment process

Preferred Technical Skills
  • Bachelor's, Master's, or PhD in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, or a related STEM discipline
  • Strong Python skills; experience building research tools or production-quality research infrastructure is highly desirable
  • Experience developing systematic equity or statistical arbitrage alphas, including intraday rebalancing of multi-day horizon signals
  • Experience working with alternative, fundamental, and exchange / market microstructure data
  • Practical experience applying LLMs or modern ML techniques to research workflows, signal generation, or dataset creation is highly desirable

Preferred Experience
  • Minimum 3 years of experience in quantitative research focused on systematic equities
  • Strong preference for candidates from quantitative trading teams, though we are open to strong quantitative candidates from discretionary environments

Highly Valued Relevant Experience
  • Experience combining heterogeneous signals across multiple data types and horizons
  • Experience building custom or proprietary datasets
  • Experience with sector-specific equity research
  • Experience contributing to live trading strategy development in a small-team environment

Target Start Date
  • ASAP, though we will wait up to 12 months for an exceptional candidate

Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $150,000 to $200,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

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