Security Analyst I, Trust & Safety

Bolster is an AI-powered brand protection and threat detection platform helping companies detect, investigate, and take down phishing and impersonation scams—across web, social, app stores, dark web, and email—before they cause damage.

We work with some of the most recognizable brands in the world and are on a mission to eliminate digital fraud at scale.

As a Security Analyst, Trust & Safety, at Bolster, you’ll be part of a team who protect some of the world’s largest brands from online phishing and scams.

You’ll work in a highly dynamic environment reviewing and pursuing enforcement on some of the trickiest online scammers.

This is a career defining opportunity to start in a small and nimble team and help shape key features of Bolster’s future product portfolio.

Responsibilities

• Review the latest threats targeting Bolster’s customers and prospects.
• Analyse online content across multiple platforms including web, social media, app store, website building platforms, etc.
• Train Bolster’s AI engine based on the latest threats.
• Investigate online activity and infrastructure to determine the fraud source.
• Engage with hosting providers, registrars, registries and platforms to shutdown online threats.
• Track ongoing enforcement efforts and content change.
• Provide support and written responses to customer queries and requests via tickets.
• Support sales and customer success teams with threat intelligence for customers and prospects
• Generate ad-hoc reports summarizing metrics and trends targeting customers and prospects.
• Respond to security alerts to support issue resolution and minimize the impact of security events.
• Research security issues and work with internal teams to find and track resolution.
• Help manage and improve the issue-tracking process.
• Create and enhance operational metrics to ensure the security programs are effective.
• This role will initially focus heavily on identifying and addressing abuse across social media platforms, with opportunities to expand into additional threat vectors and abuse types over time.
• Required Skills/Qualifications
• 0-2 years of related experience, specifically in security operations, incident response and vulnerability management.
• Experience with enterprise-wide technical solution implementations.
• Knowledge of security, development, and network infrastructure.
• Self-motivated and detail-orientated with the ability to work independently as well as function as part of a team.
• Has an analytical mind for problem-solving, abstract thought, and offensive security tactics.
• Has strong interpersonal skills (written and oral communication). Customer support/ email handling would be preferred.
• Security certifications are a plus.
• Experience and openness to 24/7 support of customers at times
• Why Bolster

Bolster creates a Next-Generation Fraud Prevention Saa S platform & Check Phish community platform based on pioneering work in Artificial Intelligence-based phishing and scam detection systems.

Our AI/ML technology protects regular citizens from bad actors on the internet, using industry-leading deep learning, computer vision, natural language processing, and machine learning models for highly accurate real-time detection & automated takedown of fraudulent sites at the internet scale.

We also brought our technology to the community with Check Phish, .

It is a free tool that protects millions of consumers from daily phishing, fraud, and fake sites.

Charities, non-profits, social benefit corps, and schools are targets too.

To aid the world, we will give our technology & services for free or at cost to any approved charity, non-profit, or social benefit corporation.

Our work is challenging but fun.

We’re all about shipping elegant, high-leverage products.

Bolster cares deeply about collaboration, feedback, and iteration.

Trust and respect are deeply rooted in our unique culture.

Our inspiring proven leaders are hiring great people, providing super benefits, and impacting the world!

Learn about our cultural values

#J-18808-Ljbffr