Full-Time

Frontend Engineer

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Sports analytics and optimization tools provider

Fintech
AI & Machine Learning

Compensation Overview

$110k - $145kAnnually

Mid

Remote in USA

Category
Frontend Engineering
Software Engineering
Required Skills
JavaScript
React.js
Node.js
SQL
REST APIs
Flask
Data Analysis
Django
Requirements
  • Bachelor Degree in Computer Science, Computer Engineering, Software Engineering, or similar field.
  • Minimum of 4+ years of software development experience.
  • Minimum of 1 year of production experience in backend Restful API development (experience with Django, Flask, Pyramid, or another RESTful development framework is desirable.)
  • Expert-level front-end software development skills with JavaScript, ReactJS, NodeJS.
  • Ability to drive projects end to end.
  • Ability to produce high-quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.
  • Solid background in complicated SQL & data analytics. Experience with SQL time series analytical queries, window functions, data modeling, and SQL query optimization is desirable.
Responsibilities
  • Bring your innovation and experience in designing and developing the next-generation data analytics platform using cutting-edge technologies.
  • Standardize processes for the complete development cycle including design, implementation, unit testing, code review, testing automation, etc.
  • Research and adopt the right technologies to improve the scalability and productivity of the trading analytics group.
  • Work closely with key stakeholders and product owners to drive technical design for requirements of various use cases.
  • Coordinate with departments (DE, DevOps, Product, Finance, DS, etc.) to ensure a smooth cycle from development to deployment.

Swish Analytics specializes in sports analytics and optimization tools specifically for daily fantasy sports and sports betting in the U.S. market, focusing on major leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing users with accurate sports predictions and optimized lineups. This helps individual sports bettors, daily fantasy players, and professional betting operators make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust and credibility in the industry. The company operates on a subscription-based model, offering a free trial and various plans that cater to different user needs. The goal of Swish Analytics is to maximize return on investment for its clients by identifying not only winning bets but also the most strategic bets, balancing risk and reward for long-term success.

Company Stage

Series B

Total Funding

$6.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

16%

1 year growth

28%

2 year growth

70%
Simplify Jobs

Simplify's Take

What believers are saying

  • Swish Analytics' machine learning system can significantly improve users' ROI by identifying the smartest bets, making it highly attractive for serious sports bettors.
  • Partnerships with major leagues and sportsbook platforms can lead to increased credibility and market reach.
  • The company's focus on major U.S. sports leagues ensures a large and engaged user base, providing ample growth opportunities.

What critics are saying

  • The highly competitive nature of the sports analytics market means Swish Analytics must continuously innovate to stay ahead.
  • Reliance on partnerships with major leagues and platforms could pose risks if these relationships are disrupted.

What makes Swish Analytics unique

  • Swish Analytics leverages advanced machine learning to provide highly accurate sports predictions, setting it apart from competitors who rely on traditional statistical methods.
  • Their partnership with Major League Baseball as an Authorized MLB Data Distributor gives them exclusive access to high-quality data, enhancing the accuracy of their analytics.
  • The subscription-based model with a free trial option makes their advanced tools accessible to a wide range of users, from casual bettors to professional operators.

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