Security Researcher

This role is based out of Noida, India.

As a Security Researcher, you will be responsible for discovering, analyzing, and collecting online threats that multiple companies will use to protect their customers online. We are looking for hands-on researchers that can help us uncover online fraud and train our deep learning-powered detection engine and also provide expert insights into design ideas and probable flaws.

**What will you do?**:

- Use open-source and Bolster's proprietary tools to discover online fraud.
- Analyze large-scale datasets and provide insights.
- You will be working with data scientists & machine learning engineers to help improve Bolster's detection engine.
- Support ad hoc data collection and analysis requests from teams across the organization.
- Help improve processes, documentation and automate mundane tasks.

**Requirements**:

- 1+ experience in the field of security research and/ or threat intelligence
- Strong experience with large scale data analysis and pattern recognition
- Having worked in a cross-functional environment in the past
- Fluent with English communication
- Demonstrated experience with technical writing and blogging
- Experienced with working on tight deadlines

**Good to haves**:

- Familiarity with basic scripting in Python/ Bash/ etc.
- BS degree in the field of computer science or related field

**About Bolster**
- Bolster creates a Next-Generation Fraud Prevention SaaS platform & CheckPhish community platform, based on pioneering work in Artificial Intelligence-based phishing and scam detection systems.

Bolster protects the world’s top brands like Zoom, Dropbox, Uber, LinkedIn, and other Fortune 500 companies using an industry-leading deep learning and computer vision engine for highly accurate real-time detection and automated takedown of fraudulent sites at scale.

We are backed by top Silicon Valley investors and growing in rapid space across industry verticals. We focus on tough problems that impact all of the world’s largest brands.

We write great software and sweat the details, focus on impact, and create a harmonious culture. Creating elegant products begins with lots of prototyping and iteration to explore the problem space. It culminates in the careful attention to edge cases and error handling, polished code, and great tests to ensure that we ship a reliable product that never compromises data integrity or security.

Every Bolster software release helps protect millions of everyday users online. We're all about shipping high-leverage projects, even if they're risky or novel. We care deeply about collaboration, feedback, and iteration. Trust and respect are deeply rooted in our engineering culture.

**Why Bolster**
- We are funded by top-tier investors led by Thomvest Ventures and Crosslink Capital, with participation from Cyber Mentor Fund, Nexxus Venture Partners, and Rain Capital. Our team has over 100 years of combined cybersecurity experience at Cisco, Symantec, McAfee, Bell Labs, Open DNS, and Zing Box.
- 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 internet scale.
- 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 great culture. Our inspiring proven leaders are hiring great people, providing super benefits, and making an impact on the world

**Make the World a Better Place - Join Bolster**

**We were recently awarded as a Great Place to Work - 2021**

**Editor’s Choice in Fraud Prevention by Cyber Defense Magazine - 2021