Trading Analyst - Philippines

Posted Yesterday
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Hiring Remotely in Manila, Metro Manila, National Capital Region, PHL
In-Office or Remote
Mid level
Artificial Intelligence • Machine Learning • Sports • Analytics
The Role
Manage sportsbook risk and profitability through positive expected value decisions, maintain accurate depth charts, adjust prematch and in-play markets, research verified sports news, and analyze betting trends to drive quantifiable trading actions. Requires at least three years of online sportsbook in-game experience, strong odds and statistical knowledge, familiarity with major North American sports, and flexible availability for nights, weekends, and holidays.
Summary Generated by Built In
Company Overview

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and 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 systems to support products across a variety of industries and consumer/enterprise clients.

Job Description - This position is remote from the Philippines with some training onsite

Duties:

  • 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

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

Preferred:

  • Bachelor’s Degree in a STEM discipline 

  • Experience working with cross functional teams (Data Science teams a plus)

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.

Skills Required

  • 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 NBA, NFL, MLB, NHL, NCAA Basketball, and NCAA Football
  • Strong mathematical, statistical, and/or analytical skills, including calculating and converting odds on the fly
  • Results-driven work ethic focused on improving processes, results, and profitability
  • Availability for flexible schedules, including nights, weekends, and holidays
  • Bachelor's degree in a STEM discipline
  • Experience working with cross-functional teams
  • Experience working with data science teams
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The Company
170 Employees
Year Founded: 2014

What We Do

Swish Analytics builds predictive sports-analytics products and B2B betting solutions, specializing in odds origination, risk management, and trading software for major U.S. sports. Using machine learning and statistical modeling, it prices player propositions and delivers real-time predictive data for sportsbooks, fantasy platforms, and sports organizations across U.S. and international markets, offering enterprise APIs and analytics to drive automated oddsmaking and trading decisions.

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