The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. We are building the data platform for blockchain, cryptocurrency, and web3.

Alterya is an AI-powered fintech and threat intelligence team, empowering institutions to protect individuals from fraud transactions. We are currently looking for a Scam Threat Researcher to join our Data Team at Alterya. We’re looking for someone who constantly asks questions in order to find bigger and better answers. You have to be tirelessly looking to improve current methods and always doubting the status quo, be proactive and look for the best solutions for identified problems.

Based in Tel Aviv, we are a fast growing team looking for eager, enthusiastic, curious, hard working and positive people to be part of our amazing journey.

In this job, you'll:

• Investigate different types of scams, understanding how they operate and how we can catch them, including defining technological solutions.

• Research sources, from finding suitable data to defining how to obtain it.

• Conduct research to understand how scams operate, both online and offline, and investigate the tactics and methods used by scammers.

• Identify human and technical vulnerabilities exploited by scammers and suggest tools and techniques for detecting and preventing it.

• Enhance our AI-based scam detection capabilities through innovative approaches and research findings.

• Develop MVP (Minimum Viable Product) solutions for various types of scams, hand them over to the development team, and provide ongoing support throughout the development process

• Writing reports on the status of the scam with clients. Writing reports on changes in the working methods of the scams around the world.

We’re looking for candidates who have:

• 5+ years of experience as a data analyst in Big Data environment

• 3+ years of experience as a Threat Researcher

• Experience working with complex data pipelines

• Strong SQL skills with experience in querying large data sets

• Ability to write Python, JavaScript, and web HTML

• Excellent analytical skills

• Good interpersonal communication skills

• Quick grasp of new data and data systems

Technologies we use:

• Python

• SQL

• AWS

• JavaScript

• Web HTML

About Chainalysis

Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence.

You belong here.

At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. Some of the ways we’re ensuring we keep learning are an internal Diversity Committee, Days of Reflection throughout the year including International Women’s Day, Harvey Milk Day, World Humanitarian Day, and UN International Migrants Day, and a commitment to continue revisiting and reevaluating our diversity culture.

We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.