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
Financial Services

Compensation Overview

$110k - $145kAnnually

Mid, Senior

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 tailored for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company utilizes an advanced machine learning system to analyze large datasets, providing users with accurate sports predictions and optimized lineups. This helps individual bettors and fantasy sports players make informed decisions by identifying the best bets and fantasy picks. Swish Analytics differentiates itself from competitors by being an Authorized MLB Data Distributor, establishing trust and credibility in the sports betting market. The company operates on a subscription-based model, offering a free trial and various plans that cater to different user needs. The primary goal of Swish Analytics is to maximize return on investment for its clients by helping them identify not only winning bets but also the most strategic bets that balance risk and reward.

Company Stage

Seed

Total Funding

$6.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

16%

1 year growth

26%

2 year growth

67%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased interest in micro-betting offers new opportunities for Swish Analytics.
  • AI-driven personalized content delivery enhances user engagement for Swish Analytics.
  • Growing popularity of women's sports leagues opens new markets for Swish Analytics.

What critics are saying

  • Increased competition from AI-driven sports analytics startups threatens market share.
  • Alternative sports betting platforms with unique features may attract Swish's customers.
  • Potential regulatory changes in U.S. sports betting could impact revenue streams.

What makes Swish Analytics unique

  • Swish Analytics uses proprietary algorithms for accurate sports predictions.
  • The company partners with Major League Baseball as an Authorized Data Distributor.
  • Swish Analytics offers subscription-based services with a free trial option.

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