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Remote Junior Quantitative Analyst Jobs (NOW HIRING)

RQD * Clearing LLC

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

Junior Margin/Risk Analyst Experience: 3-5 Years Location: [New York / Remote] Reporting To: Chief ... Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ...

Online Remote Jobs

Business Analyst-Junior

Manhattan, NY · Remote

$29.25 - $39.25/hr

Business Analyst-Junior Location: Remote Duration: 6+ Month's contract The candidate Must be in the USA Responsibilities: * Prepare weekly and/or ad hoc reports for internal and external teams

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How much do remote junior quantitative analyst jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for remote junior quantitative analyst in the United States is $32.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $35.34 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Junior Quantitative Analyst, and why are they important?

To thrive as a Remote Junior Quantitative Analyst, you need strong analytical skills, a background in mathematics, statistics, or finance, and at least a bachelor's degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data analysis tools, and knowledge of statistical modeling are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills, especially when collaborating remotely. These skills and qualities are vital for accurate data analysis, actionable insights, and effective teamwork in a distributed environment.

What is the difference between Remote Junior Quantitative Analyst vs Remote Data Analyst?

AspectRemote Junior Quantitative AnalystRemote Data Analyst
Required CredentialsBachelor's in Math, Finance, or related field; some certifications preferredBachelor's in Statistics, Data Science, or related field; certifications optional
Work EnvironmentFinancial firms, hedge funds, investment banksTech companies, consulting firms, finance
Industry UsageFinance, trading, risk managementBusiness, marketing, operations
Search & Comparison IntentUnderstanding entry-level quantitative finance rolesExploring data analysis careers in various industries

The Remote Junior Quantitative Analyst typically focuses on financial modeling, risk assessment, and quantitative research within finance and investment firms. In contrast, a Remote Data Analyst works across industries analyzing data to inform business decisions. While both roles require strong analytical skills and similar educational backgrounds, the Quantitative Analyst emphasizes finance-specific skills, whereas the Data Analyst has a broader application across sectors.

What is a Remote Junior Quantitative Analyst?

A Remote Junior Quantitative Analyst is an entry-level professional who works from a remote location to analyze and interpret numerical data, typically for financial institutions or consulting firms. Their main responsibilities include building models, performing statistical analysis, and supporting senior analysts in research and reporting. They use programming languages and statistical tools to identify trends and provide insights that help guide business decisions. Working remotely allows them to collaborate online with team members and access company systems from any location. This role is ideal for individuals with strong analytical skills and an interest in finance, mathematics, or data science.

What are some common challenges faced by Remote Junior Quantitative Analysts, and how can they be addressed?

Remote Junior Quantitative Analysts often encounter challenges such as effective communication with team members across different locations and time zones, staying aligned on project goals, and managing workflow independently. To address these, it's crucial to leverage collaboration tools, set regular check-ins with supervisors, and proactively seek feedback. Building strong time management skills and participating actively in virtual team meetings can also help ensure you remain connected and contribute effectively to ongoing projects.
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Remote Junior Quantitative Analyst jobs near you
Senior Quantitative Researcher - Risk Modeling

Senior Quantitative Researcher - Risk Modeling

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 25 days ago

Job description

Company Description
Swish Analytics is a sports analytics and trading company building the next generation of predictive sports analytics and exchange-based trading products. We believe that profitable trading is a challenge rooted in engineering, mathematics, and market expertise-not intuition. We're seeking team-oriented individuals with an authentic passion for quantitative trading who can execute in a fast-paced environment without sacrificing technical excellence.
As we expand our presence on betting exchanges, we're building infrastructure and strategies akin to those found in traditional financial markets. Our challenges are unique, and we hope you're comfortable in uncharted territory.
Role Overview
As a Senior Quantitative Researcher, you will own end-to-end research and production pipelines for one or more trading strategies. You'll lead research initiatives that generate alpha and improve execution quality, mentor junior researchers, and collaborate closely with our Trading desk to translate quantitative insights into profitable systematic strategies while maintaining rigorous risk management.
Core Responsibilities
  • Own end-to-end research and production pipelines for a strategy
  • Lead alpha research initiatives leveraging advanced statistical and machine learning techniques
  • Process and analyze high-frequency tick data, order book snapshots, and market microstructure signals with sub-millisecond latency requirements
  • Analyze price formation, market liquidity dynamics, and limit order book imbalances across electronic venues
  • Build and run Monte Carlo simulations to estimate P&L distributions, risk exposures, and portfolio dynamics
  • Develop, backtest, and optimize quantitative trading strategies with rigorous statistical validation
  • Interpret complex model outputs and communicate alpha generation mechanisms to portfolio managers
  • Write modular, clean, and efficient Python code; build custom analytics libraries and research frameworks
  • Lead design reviews and establish data quality and research reproducibility standards
  • Guide 1-2 junior researchers through project delivery and model development
  • Proactively engage with traders and infrastructure teams to clarify research objectives and resolve data dependencies

Risk Modeling
  • Design and maintain real-time risk monitoring systems across multi-asset portfolios
  • Build models for dynamic position sizing, portfolio optimization, and factor exposure management
  • Develop stress testing and scenario analysis frameworks for tail-risk events and regime changes
  • Collaborate with Trading and Risk Management to define VaR limits, leverage constraints, and implement automated risk controls

Requirements
  • Minimum of 5 years of experience in quantitative research, systematic trading, or statistical modeling
  • Master's degree in a quantitative discipline (Mathematics, Statistics, Physics, Computer Science, Financial Engineering) strongly preferred; PhD a plus
  • Expert-level Python skills; able to build production-grade research and trading systems
  • Strong SQL skills; experience with complex queries on tick databases and time-series datasets
  • Deep experience with Monte Carlo methods, stochastic calculus, and probabilistic modeling
  • Proven ability to develop, backtest, and deploy systematic trading strategies with demonstrable P&L
  • Experience processing high-frequency tick data and real-time market feeds
  • Familiarity with AWS or similar cloud infrastructure for large-scale backtesting and research
  • Track record of mentoring junior quantitative researchers
  • Excellent communication skills; ability to present complex quantitative research to portfolio managers and trading desks
  • Experience designing enterprise-grade risk management systems with real-time Greeks calculation
  • Strong understanding of factor models, correlation structure, concentration risk, and portfolio attribution

Nice to Have
  • Proficiency in Rust, C++, or other systems languages for performance-critical components
  • Experience with MLOps, model monitoring, and adaptive retraining pipelines for regime detection
  • Background in derivatives pricing, options market making, or volatility arbitrage
  • Familiarity with FIX protocol, Betfair or Matchbook API experience, and ultra-low-latency trading infrastructure

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks. Base salary is one hundred and fifty to two hundred and fifty thousand (plus bonus), depending on experience.
Department Trading Analytics Role Trading Data Science Locations San Francisco, CA - Remote Remote status Fully Remote

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