1

Intern Quantitative Modeling Jobs (NOW HIRING)

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

We don't believe in "one-size-fits-all" modeling solutions; we are open to and excited about ... As a quantitative trading intern, you'll also have the opportunity to participate in one "elective ...

Showing results 41-60

Intern Quantitative Modeling information

What is an intern quantitative modeling?

Intern Quantitative Modeling positions are internship roles where students or recent graduates work with experienced quantitative analysts to develop and implement mathematical models that assist in financial decision-making, risk management, or trading strategies. Interns typically use statistical, programming, and analytical skills to analyze large data sets and help solve real-world financial problems. These internships offer hands-on experience with quantitative tools, exposure to industry practices, and opportunities to learn from professionals in fields such as finance, insurance, or technology.

What does an intern quantitative modeling do?

As an Intern in Quantitative Modeling, you can expect to assist with developing, testing, and validating mathematical models used for financial analysis, risk assessment, or trading strategies. Typical tasks include working with large datasets, coding in programming languages such as Python or R, and collaborating with senior analysts or data scientists to solve real-world business problems. You'll often participate in team meetings, present your findings, and receive feedback to refine your models. This hands-on experience will help you build strong technical and analytical skills, while giving you exposure to the collaborative nature of quantitative teams in finance or technology firms.

What are the key skills and qualifications needed to thrive as an intern quantitative modeling?

To thrive as an Intern in Quantitative Modeling, you need a solid foundation in mathematics, statistics, and programming, often supported by coursework in quantitative fields like finance, engineering, or computer science. Familiarity with tools such as Python, R, MATLAB, and experience with statistical modeling libraries or financial data systems is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills distinguish top candidates in this role. These skills and qualities are crucial for accurately analyzing complex data, building reliable models, and clearly presenting findings to support business or research decisions.

What is the difference between Intern Quantitative Modeling vs Intern Data Analysis?

AspectIntern Quantitative ModelingIntern Data Analysis
Required SkillsMathematics, programming, financial modelingData manipulation, statistical analysis, visualization
Work EnvironmentFinance, investment banks, hedge fundsTech companies, consulting firms, research institutions
Typical TasksBuilding models, forecasting, risk assessmentData cleaning, reporting, trend analysis

Intern Quantitative Modeling and Intern Data Analysis roles often overlap in skills like programming and data handling. However, quantitative modeling focuses more on creating financial or mathematical models used for decision-making, while data analysis emphasizes interpreting data to uncover insights. Both roles are common in finance and tech industries, but they serve different strategic purposes.

What cities are hiring for Intern Quantitative Modeling jobs?

Cities with the most Intern Quantitative Modeling job openings:

What are the most commonly searched types of Quantitative Modeling jobs?

The most popular types of Quantitative Modeling jobs are:

What states have the most Intern Quantitative Modeling jobs?

States with the most job openings for Intern Quantitative Modeling jobs include:

Futures & Options Trading Analyst Intern - Summer 2027

DV Trading

New York, NY

$18.75/hr

Full-time, Temporary, Internship

Posted 6 days ago


Job description

Location: New York Office
Duration: Summer 2027 (4 weeks)
Department: DV Securities Liquid Products Group

About DV Securities:
DV Securities is a registered broker-dealer and a member of both FINRA and FICC, with a core focus on fixed income markets. We are active participants in the U.S. Treasury and agency MBS repo markets, supported by a growing platform that facilitates both principal and riskless principal trading activity.

The firm is rooted in a culture of innovation, excellence, and collaboration. As part of the broader DV ecosystem—a global network of trading firms active across futures, equities, and structured products—DV Securities benefits from the reach and resources of a multi-asset organization with offices in North America, Europe, and Asia.

Joining DV Securities means becoming part of a forward-thinking, agile team that values initiative, adaptability, and a commitment to performance in an ever-evolving financial landscape.
Overview:
We are seeking a highly motivated Futures & Options Trading Analyst Intern with a strong background in Financial Engineering, Quantitative Finance, Mathematics, or a related field to support our derivatives trading desk. This internship offers hands-on exposure to futures and options markets, quantitative modeling, and real-time trading operations.
The intern will work closely with traders and quantitative researchers to analyze market data, evaluate trading strategies, and assist in risk management activities.

Key Responsibilities:

  • Conduct quantitative analysis of futures and options markets across asset classes (equities, rates, FX, commodities)
  • Assist in developing and backtesting trading strategies
  • Analyze implied volatility, option Greeks, and volatility surfaces
  • Monitor market movements, news, and macroeconomic indicators
  • Support real-time trading decisions with data-driven insights
  • Build dashboards, reports, and analytical tools
  • Perform statistical analysis of historical market data
  • Assist with position monitoring, P&L tracking, and risk reporting
  • Identify pricing anomalies and relative-value opportunities
  • Document models, methodologies, and findings

Required Qualifications:

  • Currently pursuing a Bachelor's, Master's, or PhD in:
    • Financial Engineering
    • Quantitative Finance
    • Mathematics / Applied Mathematics
    • Statistics
    • Physics
    • Computer Science
    • Economics (quantitative track)
  • Strong understanding of derivatives (futures and options)
  • Solid foundation in probability, statistics, and linear algebra
  • Proficiency in Python (NumPy, Pandas, SciPy, Matplotlib or similar) or R or C++
  • Ability to work with large datasets
  • Excellent analytical and problem-solving skills
  • Strong communication and teamwork abilities

Preferred Qualifications:

  • Knowledge of option pricing models (e.g., Black-Scholes, binomial trees)
  • Familiarity with volatility modeling and Greeks
  • Experience with time-series analysis or machine learning
  • Exposure to financial markets and trading concepts
  • Experience with SQL, R, or C++
  • Familiarity with Bloomberg or other market data platforms

What You Will Gain:

  • Direct exposure to professional trading environments
  • Mentorship from experienced traders and quantitative analysts
  • Hands-on experience with real market data
  • Understanding of risk management and portfolio construction
  • Opportunity to contribute to live trading strategies
  • Potential pathway to full-time roles

Compensation rate: $18.75/hr

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV's posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.