Full-Time

Senior Trading Analyst

Posted on 6/4/2024

Swish Analytics

Swish Analytics

51-200 employees

Data analytics for sports betting predictions

Compensation Overview

$65/hr

+ DOE

San Francisco, CA, USA

Remote

Category
Quantitative Finance (1)
Requirements
  • Minimum of 3 years of in-game play experience at an online sportsbook
  • Deep understanding of sports betting and odds origination
  • Passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Strong mathematical, statistical, and/or analytical skills – ability to understand and calculate + convert odds on the fly
  • Results driven work ethic – focused on improving process, results and profitability
  • Availability to work flexible schedules, including nights, weekends and/or holidays
Responsibilities
  • Manage client risk, ensuring the highest margins on Swish products through +EV decisions
  • Manage and oversee depth chart accuracy, making time-sensitive adjustments in both prematch & in-play settings
  • Strategically research & track verified news sources, being the first to uncover important news and understand the overall impact on betting markets
  • Independently analyze betting trends in a scientific process, turning data into quantifiable trading actions
Desired Qualifications
  • Bachelor’s Degree in a STEM discipline
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Swish Analytics provides data analytics for sports betting and daily fantasy sports, offering algorithm-driven predictions and tools to help operators and bettors identify value bets and optimize ROI. Its product suite ingests sports data, runs predictive models, and delivers insights through configurable dashboards and subscription-based analytics for leagues such as NBA, NFL, MLB, and NHL. A key differentiator is an Authorized MLB Data Distributor partnership, along with customizable data-led tools for both betting operators and sports enthusiasts. The goal is to help users make smarter bets and informed decisions by delivering accurate data-driven insights that improve ROI and support reliable predictive analytics in the sports betting and fantasy space.

Company Size

51-200

Company Stage

Early VC

Total Funding

$6.7M

Headquarters

San Francisco, California

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Injury prediction models integrate real-time data for player prop pricing advantages.
  • In-play betting tools capture market share with real-time odds adjustments.
  • International expansion adds soccer and esports models for global B2B revenue.

What critics are saying

  • BetBuckets MLB partnership erodes licensing model in 6-12 months.
  • Numberfire ESPN integration outcompetes accuracy in 12-18 months.
  • OpenAI models commoditize NBA data edge in 18-36 months.

What makes Swish Analytics unique

  • Swish Analytics boasts 67% prediction accuracy and 7% ROI via proprietary NBA data since 2013.
  • BetBuckets delivers algorithm-driven NBA predictions outperforming numberfire's 62% accuracy.
  • MLB partnership and Sacramento Kings clients enable authorized data distribution to operators.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

6%

2 year growth

7%
Next
Dec 30th, 2024
Swish Analytics sues OddsJam and OpticOdds over alleged data theft

Swish Analytics sues OddsJam and OpticOdds over alleged data theft.

News World Casino Directory
Dec 30th, 2024
Swish Analytics Alleges $100M Loss in Lawsuit Against OddsJam

Swish Analytics, a leader in sports analytics, has initiated a legal battle against OddsJam and OpticOdds, accusing them of misappropriating proprietary sports betting odds data.

INACTIVE