Swish Analytics

Senior Trading Analyst

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Gaming, Data ProductsIndustries

Requirements

Candidates must possess a minimum of 3 years of in-game play experience at an online sportsbook, a deep understanding of sports betting and odds origination, and a passion and intimate knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football. Strong mathematical, statistical, and/or analytical skills, including the ability to understand and calculate + convert odds on the fly, are required, along with a results-driven work ethic focused on improving process, results, and profitability.

Responsibilities

The Senior Trading Analyst will 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, and independently analyze betting trends in a scientific process, turning data into quantifiable trading actions.

Skills

Sports Betting

Odds Origination

Mathematical Skills

Statistical Analysis

Data Analysis

MySQL

Risk Management

Data Science

Research

Analytical Skills

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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