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Sports Trading Jobs (NOW HIRING)

Sports Trading Analyst

San Francisco, CA ยท On-site

$70K - $120K/yr

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 ...

Trading Analyst

San Francisco, CA ยท On-site

$70K - $110K/yr

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 ...

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 ...

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 ...

Warehouse Associate

Red Bank, NJ ยท On-site

$18 - $20/hr

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

As part of the trading team, the US Sports Trader trades US major league and college sports (American football, baseball, basketball and ice hockey). This also includes managing risk, market ...

Junior Sports Trader

New York, NY ยท On-site

$60K - $90K/yr

Our mission is to financialize and democratize sports trading - taking a closed system run by casinos and turning it into a fair, efficient, two-sided market where the power sits with users. With ...

Reporting into our Head 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 ...

Reporting into our Head 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 ...

Reporting into our Head 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 ...

Reporting into our Head 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 ...

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 ...

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Sports Trading information

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$14

$36

$50

How much do sports trading jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for sports 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 are the key skills and qualifications needed to thrive in the Sports Trading position, and why are they important?

To thrive in Sports Trading, you need strong analytical skills, a solid understanding of sports and betting markets, and preferably a degree in finance, mathematics, or a related field. Familiarity with sports trading platforms, odds modeling software, and automated trading systems is highly valuable. The ability to make decisions under pressure, excellent attention to detail, and effective team communication set top professionals apart. These skills are crucial for managing risk, making real-time decisions, and achieving consistent profitability in a fast-paced environment.

What does a typical day look like for someone working in Sports Trading?

A typical day in Sports Trading involves monitoring live sports events, analyzing data to assess odds and potential outcomes, and executing trades either manually or via automated systems. Traders often start their day reviewing market trends, updating predictive models, and preparing for scheduled matches or events. During live games, they must respond quickly to changing odds and outcomes, making swift decisions to manage exposure and capitalize on opportunities. Collaboration with other traders and analysts is common, especially when sharing insights or developing new trading strategies. The role is dynamic and challenging, requiring adaptability and a keen eye for both risk and reward.

What is a Sports Trading job?

A Sports Trading job involves analyzing and managing betting markets to maximize profitability for a sportsbook or trading firm. Sports traders use mathematical models, data analysis, and real-time odds adjustments to balance risk and exposure. They monitor live events, assess market movements, and make quick decisions to ensure optimal pricing. The role requires strong analytical skills, a deep understanding of sports markets, and the ability to react swiftly to changing conditions.

What cities are hiring for Sports Trading jobs? Cities with the most Sports Trading job openings:
What are the most commonly searched types of Sports Trading jobs? The most popular types of Sports Trading jobs are:
What states have the most Sports Trading jobs? States with the most job openings for Sports Trading jobs include:
What job categories do people searching Sports Trading jobs look for? The top searched job categories for Sports Trading jobs are:
Infographic showing various Sports Trading job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 27% Full Time, 63% Part Time, 3% Temporary, and 5% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $76,005 per year, or $36.5 per hour.

Sports Trading Analyst

AEG

San Francisco, CA โ€ข On-site

$70K - $120K/yr

Full-time

Posted 14 hours 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, quantitative modelling, 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
  • Strong grounding in probability, statistics, and expected value, with the ability to reason clearly about fair price, uncertainty, and risk
  • Hands-on experience in sports trading, sports betting, exchange-style environments, market-making, quantitative trading, or other closely related domains where fast price formation and disciplined execution matter
  • 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.

About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992