Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Betting & Gambling, Data & AnalyticsIndustries

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.

Position Overview

  • Location Type: Remote
  • Job Type: Full-time
  • Salary: Not specified

As a Trading Analyst, you will work in a geographically dispersed team setting based out of Malta or Spain with associated teams in the United States. The person in this role will work with a team Trading Analysts to provide 24/7 customer support to Swish clients. This is a fast-paced environment with experts in sports analytics, data science, data engineering, professional/college sports, and software engineering. This role will be responsible for day to day client support during off-peak hours in the USA. The person in this role will routinely be expected to work nights, weekends, and holidays. This position is 100% remote.

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

Requirements

  • Bachelor’s Degree; preference for STEM degree
  • 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 Qualifications

  • Passion and intimate knowledge of college football
  • An understanding of relational database systems (MySQL)
  • Experience working with cross functional teams (Data Science teams a plus)

Company Information & Policies

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

Sports Analytics
Data Science
Data Engineering
Risk Management
Market Analysis
Betting Trends
Client Support
Real-time Data Processing

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.
Consumer privacy concerns may impact Swish Analytics' data collection practices.
Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

Land your dream remote job 3x faster with AI