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QA Analyst – Trading Data & Pricing

85k – 115kUnited StatesQA EngineeringRemote1+ YOE
Summary

QA Analyst ensuring accuracy of player projections, pricing systems, and trading tools for a Daily Fantasy Sports platform. Requires strong analytical skills, sports/DFS domain knowledge, and 1-3 years of relevant experience.

About the role

What you’ll do:

  • Track projection performance and identify key trends, discrepancies, or issues impacting pricing accuracy.
  • Perform QA testing on automated trading tools, projection creation systems, pricing launches.
  • Develop and execute testing plans, regression testing, and validation strategies for new and existing features.
  • Identify, document, and escalate bugs or inconsistencies found during testing and production monitoring.
  • Collaborate closely with Product, Engineering, Data Science, and Game Operations teams to support feature launches and system improvements.
  • Help implement testing processes, operational best practices, and quality assurance standards for trading systems.
  • Utilize internal tools and environments to replicate production scenarios and validate releases.
  • Support launch readiness through testing coordination, callouts, and operational verification

What you have:

  • Exceptional attention to detail and strong analytical thinking
  • Strong verbal and written communication skills
  • Ability to manage multiple priorities and meet critical deadlines in a fast-paced environment
  • Understanding of DFS, sports betting, or sports gaming ecosystems
  • Knowledge of major sports leagues, players, matchups, and how sports news/information impacts projections and pricing
  • Comfort working nights and weekends aligned with live sports schedules
  • Strong mathematical, statistical, and problem-solving skills

What makes you stand out:

  • Bachelor’s degree in Statistics, Computer Science, Engineering, Analytics, Finance, Accounting, or a related field preferred
  • 1–3 years of experience in Daily Fantasy Sports, sports gaming, trading operations, QA, or a related analytical role preferred
  • Experience with QA processes, regression testing, or production support is a plus
  • Familiarity with data validation, pricing models, or trading systems is a plus

Compensation & Benefits:

  • Typical salary range: $85,000 to $115,000
  • Company-subsidized medical, dental, & vision plans
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO (2 weeks strongly encouraged)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development
Skills
QA testingregression testingdata validationpricing modelstrading systemsstatistical analysisproduction supporttest planningbug trackingcross-functional collaboration
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