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Remote Quant Intern Jobs (NOW HIRING)

Ascensus

Data Analyst Intern

Newton Center, MA · On-site +1

$20/hr

Analytical and quantitative thinking * Curiosity and eagerness to learn * Data visualization and ... For all virtual remote positions, in order to ensure associates can effectively perform their job ...

Gelber Group

Trading Internship - Boston Summer 2026

Boston, MA · On-site +1

$16.25 - $22/hr

As a prop Trading Intern at Gelber Group, covering basics of liquid capital markets, the various ... This will be a remote position with a preference for candidates in the Boston area/region. Position ...

Gelber Group

Trading Internship - Boston Summer 2026

Boston, MA · On-site +1

$16.25 - $22/hr

As a prop Trading Intern at Gelber Group, covering basics of liquid capital markets, the various ... This will be a remote position with a preference for candidates in the Boston area/region. Position ...

G-P

Data & Analytics Intern

$60K/yr

Our diverse, remote-first teams are essential to our success. We empower our Dream Team members ... highly quantitative field. The annual gross base salary range for this position is $60,000 ...

AARP

Research Intern (Graduate Student)

Washington, DC · On-site +1

$18 - $21/hr

Collect, analyze, and interpret qualitative and quantitative data from external and internal ... Remote work can only be done within the United States and its territories. Compensation and ...

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AARP

Research Intern (Graduate Student)

Washington, DC · On-site +1

$18 - $21/hr

Collect, analyze, and interpret qualitative and quantitative data from external and internal ... Remote work can only be done within the United States and its territories. Compensation and ...

AARP

Research Intern

Washington, DC · On-site +1

$18 - $21/hr

Experience in quantitative analysis of microdata (aka person-level data) related to economic ... Remote work can only be done within the United States and its territories. Compensation and ...

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Remote Quant Intern information

What are the key skills and qualifications needed to thrive as a Remote Quant Intern, and why are they important?

To thrive as a Remote Quant Intern, you generally need strong quantitative skills, proficiency in mathematics or statistics, and enrollment in or completion of a relevant degree program such as finance, math, or computer science. Familiarity with programming languages like Python, R, or MATLAB, as well as experience using statistical and data analysis tools, is typically required. Outstanding problem-solving abilities, self-motivation, and effective communication are crucial soft skills for success in a remote setting. These skills and qualities are important because they enable interns to analyze complex data, collaborate virtually with teams, and contribute valuable insights to quantitative projects.

How do Remote Quant Interns typically collaborate with full-time team members and mentors despite working off-site?

Remote Quant Interns usually stay connected with their teams through daily or weekly virtual meetings, utilizing platforms like Zoom, Slack, or Microsoft Teams. Collaboration often involves sharing code, data analysis results, or research findings via version control systems and cloud-based tools. Interns are encouraged to proactively seek feedback, participate in online brainstorming sessions, and attend virtual seminars or company events to build relationships and stay engaged with mentors and peers. Effective communication and responsiveness are key to overcoming the challenges of remote work and ensuring successful integration into the team.

What are Remote Quant Interns?

Remote Quant Interns are students or recent graduates who work virtually for financial firms or tech companies in quantitative roles. Their primary responsibilities include analyzing data, developing mathematical models, and assisting in algorithmic trading or risk management, all while working from a location outside the physical office. They typically use programming languages like Python or R and work on projects related to finance, statistics, or data science. This role offers flexibility and exposure to real-world quantitative challenges without the need to relocate. Remote Quant Internships are often stepping stones to full-time quantitative analyst or researcher positions.

What is the difference between Remote Quant Intern vs Quant Analyst?

AspectRemote Quant InternQuant Analyst
Required CredentialsTypically pursuing or recent graduate in Math, Finance, or related fieldBachelor's or Master's in Quantitative Finance, Math, or related field; often requires some experience
Work EnvironmentRemote, internship setting, often part-time or seasonalFull-time, often in-office or hybrid, but increasingly remote
Employer & Industry UsageFinancial firms, hedge funds, asset management companiesFinancial institutions, hedge funds, investment banks

The Remote Quant Intern role is an entry-level, temporary position ideal for students or recent graduates gaining initial experience. In contrast, a Quant Analyst is a full-time professional role requiring more experience and advanced skills. Both roles are common in finance and investment sectors, but the intern position offers a stepping stone into the industry.

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Remote Quant Intern jobs near you
Infographic showing various Remote Quant Intern job openings in the United States as of May 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% Remote job distribution.

Quantitative Research Intern at Astera Holdings

Wayne State

Manhattan, NY • Remote

Full-time, Internship

Posted 2 days ago

Job description

You are viewing a preview of this job. Log in or register to view more details about this job. Location: Remote (U.S.

Preferred) Type: Full-Time Reports to: President About Astera Holdings Astera Holdings is building the operating system for real-world events — a unified intelligence layer that structures chaotic information, models uncertainty, and makes the future computational. This system, AsteraOS, powers our ecosystem end-to-end: Astera AI B2C: The first consumer‐grade OS for event investing. Astera Capital: Systematic trading across sports, economics, politics, and global prediction markets.

Astera Analytics: Enterprise‐grade event intelligence and forecasting systems. Our culture is a Meritocracy of Minds — scientific rigor, radical intellectual honesty, high‐agency execution, and a relentless focus on truth and results. Role Overview | Quantitative Researcher This is a foundational Quant Research role within Astera's trading and forecasting engine.

As a QR, you will design, test, and deploy quantitative models that directly drive live trading and the Reflexivity Engine — our real‐time uncertainty modeling core. This is not a theoretical research job. This is production quant R&D, where models leave notebooks and enter live execution.

You'll work across modeling, time‐series forecasting, feature engineering, simulation, and signal extraction, all unified under Astera's thesis of turning global uncertainty into a computational, tradable domain. What You'll Do Develop and validate predictive models spanning time‐series, ML forecasting, Bayesian inference, and event‐driven signal extraction. Turn prototypes into production systems by working tightly with engineering and infra.

Build factor libraries, feature pipelines, and signal engines grounded in statistical rigor. Backtest trading strategies with clean methodology, robust simulation, and risk‐adjusted performance frameworks. Collaborate directly with leadership on research direction, hypothesis formulation, and model architecture.

Contribute to the Reflexivity Engine, improving its reasoning, uncertainty modeling, and structural forecasting capabilities. Drive PnL and model performance through high‐quality research and rapid iteration. What You Bring (Signals, Not Credentials) We don't care about degrees or pedigree.

We care about ability, rigor, and grit. Core Technical Strength 1. Quantitative Modeling Time‐series forecasting Probabilistic models ML regression/classification Bayesian approaches 2.

Machine Learning for Signals Ensemble models Deep learning for structured/unstructured event data Evaluation, calibration, uncertainty quantification Simulation frameworks Performance attribution Live signal monitoring & stability analysis (Not required, but a strong edge) Python mastery Building reliable backtesting or research frameworks Core Attributes GRIT First‐principles thinker Obsession with truth and empirical rigor High‐agency, low‐ego Comfortable operating in ambiguity and speed Why Join Astera as a QR Your research hits production. You will see your models deployed into real strategies, not theoretical papers. Small team = massive surface area.

You'll shape research direction, architecture, and model design. True multidisciplinary exposure: quant, ML, systems, forecasting, and event‐driven modeling. Direct collaboration with founders and senior engineers.

How to Apply Send your resume and any relevant links (GitHub, research, portfolio) to: careers@astera.holdings #J-18808-Ljbffr

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