Swish Analytics

Sports Trading Analyst

Spain

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Betting & Gambling, Data & AnalyticsIndustries

Requirements

Candidates should possess a Bachelor’s degree, preferably in a STEM field, and demonstrate a deep understanding of sports betting and odds origination, coupled with a passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball and Football. Strong mathematical, statistical, and analytical skills are required, including the ability to understand and calculate odds on the fly, along with a results-driven work ethic focused on improving process and profitability.

Responsibilities

As a Trading Analyst, the individual will manage client risk, ensuring high margins on Swish products through +EV decisions, oversee depth chart accuracy, making time-sensitive adjustments in both prematch and in-play settings, strategically research and track verified news sources to uncover important news and understand its impact on betting markets, and independently analyze betting trends using a scientific process to translate data into quantifiable trading actions, while providing 24/7 customer support to Swish clients and working flexible schedules, including nights, weekends, and holidays.

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.

Key Metrics

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.

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