Full-Time

Frontend Engineer

Posted on 7/9/2024

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
Software Testing
SQL
REST APIs
Flask
Development Operations (DevOps)
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 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.

Company Stage

Seed

Total Funding

$6.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-9%

2 year growth

-9%
Simplify Jobs

Simplify's Take

What believers are saying

  • 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.

What critics are saying

  • 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.

What makes Swish Analytics unique

  • 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.

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Benefits

Remote Work Options

INACTIVE