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Sports Betting Risk Jobs (NOW HIRING)

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

Swish Analytics

Trading Analyst

San Francisco, CA · Remote

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

$65K/yr

Company Overview Swish Analytics is a sports analytics, betting and fantasy startup building the ... Manage client risk, ensuring the highest margins on Swish products through +EV decisions * Manage ...

Swish Analytics

Trading Analyst

San Francisco, CA

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 ...

Swish Analytics

Trading Analyst

San Francisco, CA · On-site +1

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 ...

Kambi

Technical Account Manager (SaaS)

Philadelphia, PA · On-site

... sports betting product. From front-end user interface to customer intelligence, risk management and odds compiling, all built on our in-house developed software, we strive to deliver the ultimate ...

Betr

Sports Trader, SSBK

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue ... risk and trading SOPs. * Price and trade markets in real time, including in-play/live betting ...

Betr

Sports Trader, SSBK

Miami, FL · On-site

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue ... risk and trading SOPs. * Price and trade markets in real time, including in-play/live betting ...

Betr

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue ... risk and trading SOPs. * Price and trade markets in real time, including in-play/live betting ...

Betr

Sports Trader, SSBK

Miami, FL · Remote

Reporting into our VP of Sports Trading, you will have a direct impact on both revenue ... risk and trading SOPs. * Price and trade markets in real time, including in-play/live betting ...

Smarkets

Chief Risk Officer

Chicago, IL · On-site

$150 - $200/hr

Chief Risk Officer CFTC-Regulated Business Unit Location: Chicago, IL. Fully remote to start ... We are upending the sports betting industry by growing a platform that offers the best value for ...

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Sports Betting Risk information

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How much do sports betting risk jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for sports betting risk in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is sports betting risk management?

Sports betting risk management refers to the process of identifying, analyzing, and mitigating potential financial losses for sportsbooks and betting operators. Professionals in this field use statistical models, real-time data, and odds adjustments to limit exposure to large payouts and prevent manipulation or fraud. Their work ensures the sportsbook remains profitable and stable by balancing wagers and setting appropriate limits.

What are some common challenges faced in a sports betting risk role, and how can they be managed effectively?

Professionals in Sports Betting Risk often encounter challenges such as rapidly changing odds, unexpected betting patterns, and the need to quickly assess potential liabilities. Managing these challenges requires strong analytical skills, attention to detail, and the ability to work well under pressure. Collaboration with traders, data analysts, and compliance teams is essential to monitor risk exposure and implement timely adjustments. Staying updated on sports events and regulatory changes is also crucial for effective risk management in this fast-paced environment.

What is the difference between Sports Betting Risk vs Sports Trading Analyst?

AspectSports Betting RiskSports Trading Analyst
Required CredentialsKnowledge of betting markets, risk management certificationsFinancial analysis, trading certifications, sports knowledge
Work EnvironmentBetting companies, online sportsbooks, risk departmentsFinancial firms, trading platforms, sports analytics companies
Employer & Industry UsagePrimarily in betting and gambling industryFinance, trading, sports analytics sectors
Comparison IntentUnderstanding risk management in sports bettingAnalyzing sports markets for trading opportunities

Sports Betting Risk professionals focus on managing and mitigating risks associated with betting activities within sportsbooks. In contrast, Sports Trading Analysts analyze sports markets to identify trading opportunities, often using financial tools. While both roles require risk assessment skills and sports knowledge, their primary functions and work environments differ, with one centered on risk mitigation in betting and the other on market analysis for trading.

What are the key skills and qualifications needed to thrive as a sports betting risk analyst, and why are they important?

To thrive as a Sports Betting Risk Analyst, you need strong analytical abilities, mathematical proficiency, and a background in statistics or finance, often supported by a relevant degree. Familiarity with risk management software, betting platforms, and data analysis tools such as Excel, R, or Python is typically required. Attention to detail, decision-making under pressure, and effective communication are critical soft skills in this role. These competencies are vital for accurately assessing risk, preventing financial losses, and ensuring the integrity of betting operations.

What are the most commonly searched types of Sports Betting Risk jobs?

The most popular types of Sports Betting Risk jobs are:

Infographic showing various Sports Betting Risk job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

Senior Data Scientist

Ceasars Entertainment

Las Vegas, NV

Full-time

Posted 8 days ago

Caesars Entertainment rating

6.4

Company rating: 6.4 out of 10

Based on 254 frontline employees who took The Breakroom Quiz

109th of 164 rated casinos

Job description

Join our Sportsbook team as a Senior Data Scientist responsible for end-to-end model development-designing, deploying, and refining predictive and pricing models that power our real-time odds, trading decisions, and risk management.

At Caesars Digital, We Don't Just Play the Game - We Set the Standard.

As a proud part of Caesars Entertainment, the world's premier gaming company with more than 80 years of sports betting leadership, Caesars Digital is Blazing The Trail in digital innovation, customer experience and industry excellence.

We believe every Team Member should be treated like royalty because We Are All Caesars. This guiding principle fuels our commitment to delivering legendary service and creating unforgettable experiences for our customers.

From cutting-edge digital platforms including Caesars Sportsbook, Caesars Palace Online, Horseshoe Online Casino and Caesars Racebook, to the continuing expansion of our retail footprint and our William Hill legacy, along with powerhouse partnerships across sports and entertainment, we're building something extraordinary. And we want you to be part of it.

Ready to make your mark on the Empire?

Explore our open roles and discover how you can help shape the future of gaming.

Join us. Blaze the Trail. Because at Caesars Digital, We Are All Caesars.

Qualifications

  • Degree in Statistics, Mathematics, Computer Science, Data Science, or similar.
  • 5+ years in data science or ML with at least 2+ years focused on sportsbook, gaming, or financial trading models.
  • Deep knowledge of probability, statistical methods, and advanced ML techniques.
  • Proficient in Python (NumPy, pandas, scikit-learn, etc). 
  • Experience with automated model deployment and testing frameworks. 
  • Strong SQL and data pipeline understanding
  • Understanding of betting mechanics-odds formulation, overround, liability, in-play dynamics.
  • Excellent problem-solving, communication, and collaboration skills. Proven track record of influencing product/trading decisions.

Nice to Have

  • Avid sports fan
  • Prior roles at leading sportsbooks
  • Experience building sports models
  • Experience programming in Go
  • Experience Sports Betting

Key Responsibilities

  • Design and refine statistical and machine learning models to predict outcome probabilities and set accurate prices across a wide range of sports betting markets
  • Extract and engineer features from live feeds (e.g., player stats, team form, weather, betting flow), ensuring data quality and integrity. 
  • Continuously track model behavior through KPIs-P&L, hold, liability, and recalibrate based on findings
  • Work closely with Trading, Product, and Engineering teams to translate business goals into model requirements and ensure successful rollouts. 
  • Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class. 
  • Guide junior data scientists in model design, experiments, and best practices. 
  • Collaborate with engineering to deploy models in production via APIs or model engines, implementing automated testing for accuracy, performance benchmarking, and drift monitoring. 
  • Translate model insights into clear recommendations for trading strategies, risk limits, and event-level pricing decisions. 
  • Ability to uphold and demonstrate the highest level of integrity in all situations and recognize standards required by a regulated business

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