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Sport Trading Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our ...

Swish Analytics

Trading Analyst

San Francisco, CA

Company Overview Swish Analytics is a sports analytics, betting, and fantasy startup building the ... Swish is looking for a highly analytical Sports Trading Analyst to help strengthen and scale our ...

Trading Interview

$90 - $140/hr

Trading mainly American sports - NFL, NBA, MLB, Tennis, NCAAF, NCAAB, football (soccer) * Running and maintaining strategies to trade pregame and in-game to maximize expectancy (and other business ...

New

Dime Line Trading

Live Sports Trader

Chicago, IL

Manage trading operations - confirm data feeds are available, ensure trading models launch ... A strong passion for and knowledge of sports, in particular US team sports (e.g. MLB, NBA, NFL, NHL ...

Socket.dev

Sports Trader, SSBK

Miami, FL · On-site

$110 - $150/hr

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

New

Betr

Sports Trader, SSBK

Miami, FL · On-site

$90 - $130/hr

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

Betr

Sports Trader, SSBK

Miami, FL · Remote

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

Betr

Sports Trader, SSBK

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

Betr

Sports Trader, SSBK

Miami, FL

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

Betr

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue profitability and expanding our market offerings. You will be the person behind the odds that our users bet on ...

Monmouth Trading Cards

Warehouse Associate

Tinton Falls, NJ · On-site

$17 - $20/hr

Sports Trading Cards & Collectibles Schedule: Monday-Friday, 9:00 AM - 5:30 PM About Us Monmouth Cards is a fast-growing trading card & collectibles company dedicated to delivering top-quality ...

Monmouth Trading Cards

Warehouse Associate

Red Bank, NJ · On-site

$18 - $20/hr

Sports Trading Cards & Collectibles Schedule: Monday-Friday, 9:00 AM - 5:30 PM About Us Monmouth Cards is a fast-growing trading card & collectibles company dedicated to delivering top-quality ...

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Sport Trading information

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$14

$36

$50

How much do sport trading jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for sport trading in the United States is $36.54, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $46.15 per hour, depending on experience, location, and employer.

What is sport trading?

Sport trading involves buying and selling bets on sporting events, often using betting exchanges or specialized platforms. Unlike traditional gambling, sport traders aim to make profits by taking advantage of shifting odds and market inefficiencies, rather than simply picking winners. The process is similar to financial trading, where positions can be opened and closed before an event finishes. Successful sport traders use data analysis, market trends, and real-time information to inform their decisions. This career requires strong analytical skills, discipline, and a solid understanding of both sports and market dynamics.

What are the key skills and qualifications needed to thrive as a sport trader?

To thrive as a Sports Trader, you need strong analytical skills, mathematical proficiency, and a solid understanding of sports markets—often supported by a degree in finance, mathematics, or a related field. Familiarity with trading platforms, odds modeling software, and statistical analysis tools such as Excel or Python is typically required. Excellent decision-making, attention to detail, and the ability to remain calm under pressure are essential soft skills in this role. These abilities ensure accurate market assessments, effective risk management, and optimal trading performance in a fast-paced and high-stakes environment.

What are the typical challenges faced by sport traders, and how can they be managed effectively?

Sport traders often encounter challenges such as rapidly changing odds, managing risk, and staying updated with real-time sports data. Adapting to market volatility and making quick, informed decisions under pressure are essential. Successful traders use advanced analytical tools, maintain strict discipline with their trading strategies, and continuously monitor live events to minimize losses. Regular collaboration with data analysts and other traders also helps in sharing insights and improving overall performance.

What is the difference between Sport Trading vs Sports Analyst?

AspectSport Trading

Sport Trading involves buying and selling betting odds or sports securities to profit from market movements, often requiring knowledge of betting markets, risk management, and financial analysis. Sports Analysts analyze sports data, provide insights, and forecast outcomes, focusing on statistical analysis and reporting. Both roles may require similar credentials like sports or finance-related certifications and work in the sports or betting industry. However, Sport Trading is more focused on market transactions, while Sports Analysts emphasize data interpretation and reporting.

How do you become a sport trading?

To become a sport trader, you typically need a strong understanding of sports markets, betting odds, and trading strategies. Gaining experience through simulation platforms or internships and developing skills in data analysis and risk management are important steps. Many traders also use specialized trading software and stay informed about sports news and events.

How much do sport traders make?

Sport traders typically earn between $30,000 and $100,000 annually, with experienced traders or those working for large betting companies earning higher salaries and bonuses. Income depends on skill, experience, and the volume of bets managed, often supplemented by performance-based incentives.
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Sport Trading jobs near you
Infographic showing various Sport Trading job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Trading Analyst

Swish Analytics

San Francisco, CA • On-site, Remote

Full-time

Re-posted 23 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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