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Quantitative Analyst Intern Jobs in Union, NJ (NOW HIRING)

Rho Technologies

Quantitative Analyst Intern

New York, NY · On-site

$20 - $35/hr

Analyze how post-sales teams respond to churn signals and identify where playbooks could improve ... Communicates quantitative work clearly to technical and non-technical stakeholders Strong fit if:

Jane Street

Fundamental Research Analyst

New York, NY · On-site

As a Fundamental Analyst Intern, you'll join our Equities and Commodities Fundamental teams to learn how we integrate in-depth research with the firm's core quantitative strategies. Your diverse day ...

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Quantitative Analyst Intern information

What is a quantitative analyst intern?

Quantitative Analyst Interns, often called 'quant interns,' are students or recent graduates who work temporarily at financial institutions, such as banks, hedge funds, or investment firms, to support quantitative research and analysis. Their main role involves applying mathematical, statistical, and programming skills to analyze financial data, build models, and help make investment decisions. The internship provides hands-on experience in quantitative finance, often involving tasks such as backtesting trading strategies, data cleaning, and assisting with risk assessment. This position is ideal for individuals pursuing careers in quantitative finance, data science, or related fields.

What types of projects or tasks can a quantitative analyst intern expect to work on during their internship?

As a Quantitative Analyst Intern, you'll typically be involved in projects such as building and validating financial models, analyzing large datasets to identify patterns or trends, and assisting in the development of trading strategies. You may also work closely with senior quantitative analysts, traders, and software engineers to implement algorithms or back-test strategies using historical data. The role requires strong collaboration and communication skills, as you'll often present your findings to team members and contribute to ongoing research initiatives.

What are the key skills and qualifications needed to thrive as a quantitative analyst intern, and why are they important?

To thrive as a Quantitative Analyst Intern, you need strong analytical abilities, proficiency in mathematics and statistics, and usually progress toward a degree in a quantitative field such as mathematics, finance, or engineering. Familiarity with programming languages like Python or R, experience with data analysis tools, and knowledge of financial modeling are typically required. Attention to detail, problem-solving skills, and effective communication set standout candidates apart. These skills are crucial for analyzing large data sets, developing models, and clearly communicating findings to support informed decision-making in finance.

What is the difference between Quantitative Analyst Intern vs Quantitative Analyst?

AspectQuantitative Analyst InternQuantitative Analyst
Required CredentialsTypically pursuing or recently completed a degree in finance, mathematics, or related fieldsBachelor's degree often required; advanced degrees or certifications like CFA or CQF preferred
Work EnvironmentInternship programs within financial firms, hedge funds, or investment banksFull-time roles in similar environments with more responsibilities
Employer & Industry UsageUsed mainly for training and entry-level positions in finance and investment sectorsFull-fledged professional role in asset management, hedge funds, or investment banks

The main difference between a Quantitative Analyst Intern and a Quantitative Analyst lies in experience, responsibilities, and career stage. Interns are typically students gaining exposure, while analysts are full-time professionals handling complex models and decision-making processes.

What are the most commonly searched types of Quantitative Analyst jobs in Union, NJ?

The most popular types of Quantitative Analyst jobs in Union, NJ are:

What job categories do people searching Quantitative Analyst Intern jobs in Union, NJ look for?

The top searched job categories for Quantitative Analyst Intern jobs in Union, NJ are:

What cities near Union, NJ are hiring for Quantitative Analyst Intern jobs?

Cities near Union, NJ with the most Quantitative Analyst Intern job openings:

Quantitative Analyst Intern jobs near you
Infographic showing various Quantitative Analyst Intern job openings in Union, NJ as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.

Quantitative Analyst Intern

New York, NY • On-site

Rho Technologies
See more jobs at Rho Technologiesexternal

$20 - $35/hr

Internship

Posted 25 days ago

Job description

About Us
Rho is the modern banking platform built for startups. Open accounts in minutes, issue cards, manage expenses, pay bills, and close the books - all in one connected platform backed by real human support.
About the role
You'll work on high-impact data projects that help Rho detect, prevent, and better understand customer behavior, from identifying early churn signals to mapping growth opportunities. Your work will directly support Rho's growth engineering function, the systems that power expansion, retention, and churn mitigation. The work spans designing experiments, building predictive models, extracting insights from unstructured data, and working with large, complex datasets. You'll collaborate across teams to drive workflow efficiency, improve customer retention, and influence product direction, taking full ownership of your analyses and communicating your findings clearly to technical and non-technical audiences.
Potential Projects
  • New churn leading indicators. The current set catches a lot, but not everything. Hunt for earlier, cleaner predictors of account churn and treasury drawdown. Backtest candidates against known outcomes and graduate what holds.
  • New expansion and deposit-growth signals. The upside side of the book is less built out than the churn side. What predicts an account is about to move more money onto Rho, hire, raise, or grow its treasury? Generate and test candidates.
  • Unstructured data as a new signal source. Today's entire signal universe lives in the warehouse; call transcripts are untouched. Build LLM extraction experiments to pull signals that will never appear in transaction data: a competitor mentioned on a call, product-limit frustration, expansion intent voiced directly. A different modality, genuinely additive.
  • Probabilistic modeling. Move signal scoring from hand-tuned rules toward measured weights. Model how signals interact, quantify which combinations actually matter, and cluster accounts into behavioral archetypes.
  • Graph and network signals. Map shared-investor and vendor co-occurrence structure for fundraise-contagion detection and referral clusters. Untouched today.
  • Customer health modeling. Improve how we model account health over time: how accounts move between health states, what predicts those transitions, and where intervention changes the trajectory.
  • Playbook effectiveness. Analyze how post-sales teams respond to churn signals and identify where playbooks could improve.
  • GTM workflow efficiency. Find and remove friction in how signals reach the field.
  • Product adoption. Analyze adoption patterns, identify behaviors that predict or drive adoption, and use them to make customers stickier.

You have:
  • Challenging coursework in Computer Science, Mathematics, Statistics, Data Science, or a related quantitative field
  • Project experience in statistics, ML, econometrics, or a related quantitative field
  • Proficient in Python, Comfortable with SQL
  • Willing to run a high volume of experiments and work with messy, incomplete data
  • Communicates quantitative work clearly to technical and non-technical stakeholders

Strong fit if:
  • Comfortable with ambiguity. Problems arrive underspecified.
  • Take ownership. You run your experiments end to end and do not need handholding. If something is broken or unclear, you chase it down rather than wait.
  • Question everything. You do not take a number, a signal, or an assumption at face value, including your own. You pressure-test before you trust.
  • Very fast learner. You pick up new tools, new data, and new methods quickly and independently, and you are not thrown by unfamiliar territory.
  • High attention to detail.
  • Deeply analytical. You reason from the data, quantify your claims, and can explain why something works or does not.
  • High throughput. You would rather run five experiments this week than one perfect one next month.

Hourly: $20-$35 | Start: ASAP

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