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Remote Junior Quant Developer Jobs in California

EyeUniversal LLC

Lead Developer

San Diego, CA · Remote

$62.75 - $82/hr

This is a remote position. Lead Developer responsibilities include leading a team of junior developers, refining business specifications, architecting software, executing on deadlines with project ...

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Remote Junior Quant Developer information

What is a Remote Junior Quant Developer?

A Remote Junior Quant Developer is an entry-level professional who works from a remote location to support quantitative research and financial modeling, often within banks, hedge funds, or fintech companies. Their responsibilities typically include developing, testing, and maintaining algorithms and quantitative models that help inform trading strategies or risk management. They use programming languages like Python, C++, or R to analyze large data sets and automate processes. As 'junior' developers, they work under the guidance of more senior quantitative analysts or developers while building their technical and financial expertise.

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

To thrive as a Remote Junior Quant Developer, you need a strong background in mathematics, statistics, and programming (often Python, C++, or Java), typically supported by a relevant degree in quantitative fields like math, physics, or computer science. Familiarity with financial modeling tools, version control systems like Git, and quantitative libraries such as NumPy or pandas is commonly required. Attention to detail, problem-solving abilities, and clear communication are critical soft skills, especially when collaborating remotely with cross-functional teams. These skills ensure accurate model development, efficient code collaboration, and effective teamwork in the fast-paced, data-driven finance industry.

What is the difference between Remote Junior Quant Developer vs Remote Quant Analyst?

AspectRemote Junior Quant DeveloperRemote Quant Analyst
Required CredentialsBachelor's in Math, CS, or related field; some programming experienceBachelor's or higher in Finance, Math, or related; programming skills beneficial
Work EnvironmentCollaborative teams in finance or hedge funds; focus on coding and model developmentResearch-focused; analyzing data, developing trading strategies, reporting
Employer & Industry UsageFinancial firms, hedge funds, asset managersFinancial institutions, investment firms, hedge funds

The Remote Junior Quant Developer primarily focuses on coding, developing algorithms, and building models, often requiring programming skills and a background in math or computer science. In contrast, the Remote Quant Analyst emphasizes data analysis, research, and strategy development, often with a stronger emphasis on finance knowledge. Both roles are common in financial firms and often overlap in skills, but they differ in daily tasks and focus areas.

What are some common challenges faced by remote junior quant developers, and how can they be addressed?

Remote junior quant developers often encounter challenges such as limited access to on-the-spot mentorship, difficulties in understanding complex quantitative models without in-person guidance, and the need to communicate effectively across distributed teams. To overcome these hurdles, it's important to proactively seek regular check-ins with senior team members, utilize collaborative tools for code reviews and project tracking, and participate in virtual study groups or forums. Building strong written communication skills and maintaining a disciplined work schedule can also help ensure steady progress and integration with the team.
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Senior Quantitative Researcher - Risk Modeling

Senior Quantitative Researcher - Risk Modeling

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Posted 12 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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