[Remote] Frontend Engineer at Swish Analytics

San Francisco, California, United States

$110,000 – $150,000Compensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Data & Analytics, TradingIndustries

Skills

Key technologies and capabilities for this role

JavascriptTypescriptReactNext.jsNode.jsRestful APIRestifyFastifyUnit TestingCode ReviewContinuous IntegrationSQLData AnalyticsTime Series AnalysisWindow FunctionsData ModelingSQL Query Optimization

Questions & Answers

Common questions about this position

What is the base salary range for the Frontend Engineer position?

The base salary range is $110-150,000.

Is this Frontend Engineer role remote or does it require office work?

This information is not specified in the job description.

What are the key skills required for this Frontend Engineer role?

Expert-level front-end skills with Javascript, Typescript, React/Next.js, and Node are required, along with at least 1 year of production experience in backend Restful API development and 4+ years of overall software development experience.

What team will the Frontend Engineer be working with?

You will be part of the Visual Services team, which is building the next-generation platform for real-time data access to drive trading and operational performance.

What makes a strong candidate for this Frontend Engineer position?

Candidates with a Bachelor's degree in Computer Science or similar, 4+ years of software development experience, expert front-end skills in Javascript, Typescript, React/Next.js, and Node, plus the ability to drive projects end-to-end and produce high-quality, tested software stand out. Nice-to-haves include backend API experience and a background in SQL and data analytics.

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.

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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