New Grad Full-Time Quantitative Researcher

Wall Street Quants; New York (NY); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Structured training

Mentorship

Real-time trading impact

Competitive compensation

Early project ownership

Job summary

Wall Street Quants in New York City seeks a highly motivated New Grad Quantitative Researcher to join our hedge fund team full-time, applying mathematics, statistics, programming, and data-driven analysis.

You will work at the intersection of markets, statistical modeling, and technology, collaborating with traders, developers, and researchers to identify patterns, test hypotheses, and support the creation of quantitative strategies.

Qualifications

• Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program.
• Degree in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, Data Science, OR related discipline.
• Strong foundation in probability, statistics, linear algebra, optimization, or machine learning.
• Programming experience in Python, R, C++, Java, Julia, MATLAB, or a similar language.
• Experience working with data through coursework, research, internships, projects, or independent study.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Ability to communicate complex ideas clearly and work collaboratively across teams.
• Interest in financial markets, trading, investing, or data-driven decision-making.

Responsibilities

• Conduct quantitative research to identify signals, patterns, and inefficiencies in financial markets
• Analyze large and complex datasets, including market data, alternative data, and time-series data
• Develop, test, and refine statistical models, predictive signals, and trading strategies
• Design and run backtests, simulations, and experiments to evaluate research ideas
• Collaborate with traders and developers to translate research findings into production-ready tools and strategies
• Monitor model performance and contribute to ongoing strategy improvement
• Apply statistics, machine learning, optimization, probability, and econometrics to trading problems
• Present research findings clearly to technical and non-technical stakeholders
• Stay current on market behavior, quantitative methods, and emerging research relevant to trading and investing

Skills

Quantitative research

Programming languages

Statistics

Communication

Education

Math/Statistics/CS/Engineering/Physics/Economics/Finance/Data Science/OR related field

Tools

Python

R

C++

MATLAB

SQL

Job description

About The Role

An NYC based hedge fund is seeking a highly motivated and intellectually curious New Grad Quantitative Researcher to join the team full time. This role is ideal for recent graduates who enjoy solving complex problems using mathematics, statistics, programming, and data-driven analysis.

As a Quantitative Researcher, you will work at the intersection of financial markets, statistical modeling, and technology. You will collaborate with traders, developers, and other researchers to identify patterns in market data, develop predictive models, test trading hypotheses, and support the creation of quantitative strategies.

This is an excellent opportunity for a new graduate who is analytical, creative, and excited to apply rigorous research methods to real-world financial markets.

Requirements

Responsibilities

• Conduct quantitative research to identify signals, patterns, and inefficiencies in financial markets
• Analyze large and complex datasets, including market data, alternative data, and time-series data
• Develop, test, and refine statistical models, predictive signals, and trading strategies
• Design and run backtests, simulations, and experiments to evaluate research ideas
• Collaborate with traders and developers to translate research findings into production-ready tools and strategies
• Monitor model performance and contribute to ongoing strategy improvement
• Apply techniques from statistics, machine learning, optimization, probability, and econometrics to solve trading-related problems
• Present research findings clearly to technical and non-technical stakeholders
• Stay current on market behavior, quantitative methods, and emerging research relevant to trading and investing

Qualifications

• Recent graduate or upcoming graduate from a Bachelor's, Master's, PhD, or equivalent program
• Degree or strong demonstrated experience in a quantitative field such as Mathematics, Statistics, Computer Science, Engineering, Physics, Economics, Finance, Data Science, Operations Research, or a related discipline
• Strong foundation in probability, statistics, linear algebra, optimization, or machine learning
• Programming experience in Python, R, C++, Java, Julia, MATLAB, or a similar language
• Experience working with data through coursework, research, internships, projects, or independent study
• Strong analytical thinking, problem-solving ability, and attention to detail
• Ability to communicate complex ideas clearly and work collaboratively across teams
• Interest in financial markets, trading, investing, or data-driven decision-making

Preferred Qualifications

• Research, internship, or project experience involving statistical modeling, machine learning, time-series analysis, forecasting, optimization, or quantitative finance
• Experience with Python data science libraries such as pandas, NumPy, SciPy, scikit-learn, PyTorch, TensorFlow, or statsmodels
• Familiarity with SQL, large-scale data processing, cloud tools, or distributed computing
• Exposure to financial instruments such as equities, futures, options, fixed income, FX, commodities, or digital assets
• Experience with backtesting, simulation, portfolio construction, or risk modeling
• Participation in math competitions, programming competitions, research publications, Kaggle, hackathons, trading competitions, poker, chess, or other analytical competitions

Benefits

What We Offer

• Full-time role designed for new graduates
• Structured training and mentorship from experienced quantitative researchers, traders, and engineers
• Opportunity to work on impactful research used in real-time trading and investment decisions
• Exposure to financial markets, strategy development, data science, and trading infrastructure
• A collaborative, intellectually rigorous environment where research quality and strong ideas are valued
• Early ownership of meaningful research projects
• Competitive compensation and benefits