1

Weekend Quant Trading Jobs in California (NOW HIRING)

This role is suited to someone with strong quantitative reasoning, excellent decision-making under ... Comfortable working autonomously across global event schedules, including weekends and major ...

This role is suited to someone with strong quantitative reasoning, excellent decision-making under ... Comfortable working autonomously across global event schedules, including weekends and major ...

Associate Brand Manager

Walnut Creek, CA ยท On-site

$95K - $124K/yr

Well, there's a lot of snacking and geeking out over what we all cooked over the weekend. Beyond ... Partner with Sales Strategy to develop distribution priorities and trade strategies * Support ...

New

Associate Brand Manager

Walnut Creek, CA ยท On-site

$95K - $124K/yr

Well, there's a lot of snacking and geeking out over what we all cooked over the weekend. Beyond ... Partner with Sales Strategy to develop distribution priorities and trade strategies * Support ...

Be Seen First

Must have experience with qualitative and quantitative research and the ability to synthesize and ... trade shows, and conferences. * Incumbents may be required to work evening, weekend and holiday ...

Weekend Quant Trading information

What are the key skills and qualifications needed to thrive as a weekend quant trader, and why are they important?

To thrive as a Weekend Quant Trader, you need strong quantitative analysis skills, proficiency in programming (often Python or C++), and a solid understanding of financial markets, typically supported by a degree in mathematics, finance, or a related field. Familiarity with algorithmic trading platforms, statistical modeling tools, and data analytics systems is essential, and certifications such as CFA or FRM can be advantageous. Excellent problem-solving, attention to detail, and the ability to make quick, data-driven decisions under pressure are standout soft skills in this role. These capabilities are crucial for developing and executing profitable trading strategies in fast-moving, after-hours markets.

What is the difference between Weekend Quant Trading vs Quant Analyst?

AspectWeekend Quant TradingQuant Analyst
CredentialsTypically requires a degree in finance, mathematics, or computer science; certifications like CFA are a plusSimilar credentials, often with advanced degrees or certifications
Work EnvironmentPrimarily independent or team-based trading during weekends; fast-paced, high-pressureOffice-based, research-focused, analytical environment during weekdays
Industry UsageUsed by hedge funds, proprietary trading firms, and quantitative trading desksCommon in investment banks, asset management firms, and financial institutions

Weekend Quant Trading involves executing trading strategies during weekends, often focusing on short-term opportunities. Quant Analysts conduct research, develop models, and analyze data to inform trading decisions. While both roles require strong quantitative skills and similar credentials, Weekend Quant Trading is more execution-focused during specific hours, whereas Quant Analysts focus on research and model development during regular business hours.

What is a weekend quant trader?

A Weekend Quant Trader is a quantitative analyst or trader who focuses on designing, testing, and executing trading strategies specifically during the weekends, often in markets that operate 24/7, such as cryptocurrency. These professionals use mathematical models, statistical analysis, and computer programming to identify trading opportunities and manage risk when traditional financial markets are closed. Weekend Quant Traders may work independently or with algorithmic trading firms to capitalize on unique market movements and inefficiencies that can occur outside regular business hours.

What are some unique challenges faced by weekend quant traders, and how can they prepare for them?

Quant traders working on weekends often deal with lower liquidity and less market activity, which can lead to wider spreads and increased volatility. They may also encounter reduced support from operational teams, as many departments operate on standard business hours. To prepare, it's important to develop robust automated monitoring systems, communicate closely with colleagues during handoffs, and stay updated on global markets that remain active over the weekend. Proactive planning and adaptability are key to navigating these unique conditions successfully.
What are the most commonly searched types of Quant Trading jobs in California? The most popular types of Quant Trading jobs in California are:
What are popular job titles related to Weekend Quant Trading jobs in California? For Weekend Quant Trading jobs in California, the most frequently searched job titles are:
What job categories do people searching Weekend Quant Trading jobs in California look for? The top searched job categories for Weekend Quant Trading jobs in California are:
What cities in California are hiring for Weekend Quant Trading jobs? Cities in California with the most Weekend Quant Trading job openings:

Trading Analyst

Swish Analytics

San Francisco, CA โ€ข On-site, Remote

Full-time

Re-posted 12 days ago


Job description

Company Overview
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports expertise, not intuition. We are looking for team-oriented individuals with an authentic passion for accurate, predictive, real-time data who can execute in a fast-paced, creative, and continually evolving environment without sacrificing technical excellence.
Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems.
Job Description
Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our sports pricing and trading operation.
In this role, you will work at the intersection of sports intelligence, pricing strategy, and live market behaviour. You will help manage and improve real-time pricing across a range of sports and market types, with a particular focus on market aware price discovery, risk management and the identification of actionable trading signals from market activity.
This role is suited to someone with strong quantitative reasoning, excellent decision-making under pressure, and a deep interest in how markets are formed, odds move, and how to engineer accurate pricing in the competitive sports betting environment.
You will work in a geographically dispersed team alongside experienced traders, quants, data scientists, and engineers, with colleagues based across Europe and the US.
Duties
  • Monitor live sports markets and market activity in real time across a range of sports and market types
  • Support the calibration and refinement of prices using market signals, statistical models, competitor benchmarking, and event-driven information
  • Help improve pricing quality through the analysis of market behaviour, price sensitivity, liquidity patterns, and reaction speed to new information
  • Contribute to the development, testing, and refinement of quantitative models by applying your understanding of live market dynamics and pricing behaviour
  • Own and manage real-time trading risk, including exposure monitoring, liability controls, and disciplined decision-making across concurrent events
  • Collaborate with engineering on trading and pricing infrastructure, including API integrations, automated monitoring, alerting, anomaly detection, and execution tooling
  • Work closely with Sports Trading teams to interpret breaking news, lineups, injuries, team news, and other event-specific developments to ensure timely and accurate price updates
  • Identify model discrepancies, edge cases, and structural inefficiencies in pricing workflows, escalating and documenting findings for Data Science and Data Engineering teams
  • Help evaluate market opportunities, prioritise resources across sports and competitions, and improve operational processes as the trading function scales
  • Detect sharp or informative market activity and ensure useful signals are fed back into Swish's proprietary models and pricing systems
  • Communicate effectively with internal Sports Trading teams responsible for maintaining and improving our core sportsbook pricing models
Requirements
  • Bachelor's degree or higher in a quantitative or analytical discipline (Mathematics, Statistics, Computer Science, Economics, Engineering, Quantitative Finance, or similar), or equivalent practical experience
  • Must have demonstrated hands-on experience in exchange-style environments, sports trading, sports betting, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter
  • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk
  • Strong understanding of sports betting fundamentals, including odds formats (decimal, fractional, American), implied probability conversion, expected value, and closing line value
  • Demonstrated ability to make high-quality decisions under time pressure with incomplete information during live events
  • Comfortable working autonomously across global event schedules, including weekends and major tournament periods
  • Fluent in English, written and spoken, with clear communication skills in a distributed and asynchronous team environment
Preferred (but not essential)
  • Track record of building and backtesting quantitative models using real historical data; GitHub, notebooks, or demonstrable analytical work is highly valued
  • Deep domain knowledge across high-turnover sporting verticals such as NBA, NFL, and Soccer
  • Understanding of relational database systems (MySQL or equivalent) for analysis of prices, outcomes, and trading decisions
  • Familiarity with market microstructure concepts such as adverse selection, inventory risk, liquidity dynamics, queue positioning, or execution quality
  • Experience using Python for quantitative research, exploratory data analysis, prototyping, or model improvement
  • Experience using modern AI tools to accelerate analysis, research, and modelling workflows
Why Join
This is an opportunity to play a meaningful role in a growing and well-resourced sports trading operation. The successful candidate will help shape process, tooling, and decision-making within a team focused on high-quality pricing, efficient execution, and long-term product excellence across multiple sports verticals.
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.
Department Trading Operations Locations San Francisco, CA - Remote, Malta - Remote, Spain - Remote, United Kingdom - Remote Remote status Fully Remote