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Trading Systems Analyst Jobs in California (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems. Swish is looking for a highly analytical ...

Swish Analytics

Trading Analyst

San Francisco, CA

Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building high-performance pricing and trading systems. Swish is looking for a highly analytical ...

STAND 8

Business Systems Analyst

Long Beach, CA · On-site

Communicate priorities, limitations, risks, and trade-offs in a clear and audience-appropriate ... systems analysis, and project delivery, preferably within enterprise IT or public-sector ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

... analyze betting trends in a scientific process, turning data into quantifiable trading actions ... An understanding of relational database systems (MySQL) * Experience working with cross functional ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

... analyze betting trends in a scientific process, turning data into quantifiable trading actions ... An understanding of relational database systems (MySQL) * Experience working with cross functional ...

Whatnot

Finance Systems Analyst

San Francisco, CA · On-site

$131K - $160K/yr

Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real ... Role We're looking for a hands-on Finance Systems Analyst to help us build the financial ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

... analyze betting trends in a scientific process, turning data into quantifiable trading actions ... An understanding of relational database systems (MySQL) * Experience working with cross functional ...

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All JobsTrading Systems Analyst JobsTrading Systems Analyst Jobs in California

Trading Systems Analyst information

See California salary details

$41K

$88.1K

$139.2K

How much do trading systems analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for trading systems analyst in California is $88,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $106,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Trading Systems Analyst, you need strong analytical abilities, experience with financial markets, and a degree in finance, computer science, or a related field. Expertise with trading platforms, scripting languages (like Python or SQL), and knowledge of FIX protocol or order management systems are typically required. Strong problem-solving skills, attention to detail, and clear communication help analysts bridge the gap between technical teams and traders. These skills ensure the smooth operation and enhancement of trading systems, which is crucial for minimizing downtime and maximizing trading performance.

What are some common challenges faced by trading systems analysts, and how can they be addressed?

Trading Systems Analysts often encounter challenges such as managing fast-paced troubleshooting during market hours, ensuring system reliability under high transaction volumes, and effectively communicating technical issues to both IT and trading teams. Addressing these challenges involves developing strong problem-solving skills, staying up-to-date with the latest trading technologies, and fostering clear communication channels between technical and non-technical stakeholders. Proactively monitoring system performance and participating in regular cross-functional meetings can also help analysts anticipate and resolve issues before they impact trading operations.

What is a trading systems analyst?

Trading Systems Analysts are professionals who specialize in supporting, maintaining, and improving electronic trading platforms used by financial institutions. They work closely with traders, developers, and IT teams to ensure that trading systems operate efficiently, troubleshoot technical issues, and implement system upgrades or enhancements. Their role may also involve analyzing system performance, automating trading processes, and ensuring compliance with regulatory requirements. Strong analytical, technical, and communication skills are essential for success in this field.

What is the difference between Trading Systems Analyst vs Quantitative Analyst?

AspectTrading Systems AnalystQuantitative Analyst
Required CredentialsBachelor's in finance, computer science, or related field; certifications like CFA or FRM beneficialAdvanced degrees (Master's or PhD) in mathematics, statistics, or finance; certifications like CFA or CQF
Work EnvironmentFinancial firms, trading desks, technology teamsHedge funds, investment banks, quantitative research teams
Employer & Industry UsageUsed in trading operations to optimize systems and strategiesUsed for developing models to inform trading decisions and risk management

While both roles involve finance and technology, Trading Systems Analysts focus on maintaining and improving trading platforms, whereas Quantitative Analysts develop mathematical models for trading strategies. The roles often overlap in skills but differ in primary responsibilities and focus areas.

What are popular job titles related to Trading Systems Analyst jobs in California?

For Trading Systems Analyst jobs in California, the most frequently searched job titles are:

What job categories do people searching Trading Systems Analyst jobs in California look for?

The top searched job categories for Trading Systems Analyst jobs in California are:

Trading Systems Analyst jobs near you
Infographic showing various Trading Systems Analyst job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 81% In-person, 5% Hybrid, and 14% Remote job distribution, with an average salary of $88,127 per year, or $42.4 per hour.

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 19 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

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