Remote Sports Trading Analyst: In-Play & Odds Analytics

Remote Sports Trading Analyst: In-Play & Odds Analytics

Full-Time 40500 - 49500 Β£ / year (est.) Working from home possible
Swish Analytics Inc.

At a Glance

  • Tasks: Analyse sports data and make quick trading decisions to maximise profitability.
  • Company: Join Swish Analytics Inc., a leader in sports analytics.
  • Benefits: Flexible remote work, competitive pay, and opportunities for growth.
  • Other info: Ideal for passionate sports fans looking for a dynamic role.
  • Why this job: Be at the forefront of sports betting and make impactful decisions.
  • Qualifications: 3+ years in sportsbook analysis and deep sports knowledge required.

The predicted salary is between 40500 - 49500 Β£ per year.

Swish Analytics Inc. is seeking a data-driven analyst to manage risk, monitor depth charts, and react quickly to news affecting betting markets.

You will apply mathematical and statistical techniques to translate trends into trading actions, with a strong emphasis on profitability and process improvement.

The role requires 3+ years of in-game sportsbook experience and deep knowledge of NBA, NFL, MLB, NHL, and NCAA sports.

Flexibility to work nights, weekends, and holidays is essential.

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Remote Sports Trading Analyst: In-Play & Odds Analytics employer: Swish Analytics Inc.

Swish Analytics Inc. is an excellent employer for those passionate about sports data science, offering a dynamic and fast-paced work environment where innovation thrives. Employees benefit from a culture of collaboration, continuous learning, and the opportunity to work on cutting-edge machine learning solutions that directly impact the sports betting industry. With a focus on professional growth and real-time analytics, this role provides a unique chance to make meaningful contributions while advancing your career in a rapidly evolving field.

Swish Analytics Inc.

Contact Details:

Swish Analytics Inc. Recruitment Team

We think you need these skills to ace Remote Sports Trading Analyst: In-Play & Odds Analytics

Data Analysis
Mathematical Techniques
Statistical Techniques
Risk Management
Sports Knowledge (NBA, NFL, MLB, NHL, NCAA)
Profitability Analysis
Process Improvement