Location: Vancouver - Pender St, Canada

Thales people architect identity management and data protection solutions at the heart of digital security. Business and governments rely on us to bring trust to the billons of digital interactions they have with people. Our technologies and services help banks exchange funds, people cross borders, energy become smarter and much more. More than 30,000 organizations already rely on us to verify the identities of people and things, grant access to digital services, analyze vast quantities of information and encrypt data to make the connected world more secure.

This is for a hybrid role in Vancouver, BC Canada.

Position Summary

Thales CSP and Imperva have combined forces to become the largest application security vendor in the world and to jointly develop cybersecurity products for the largest companies around the globe. The joint offering allows covering all aspects of application security for our customers in a way no other vendor can compete with and makes the Thales and Imperva brand the strongest in the market worldwide!

We are seeking a dedicated team member to join our Online Fraud Protection Group. This role involves supporting the development of Account Takeover Protection and Client-Side Protection, two rapidly expanding SAAS solutions aimed at safeguarding customers from fraud and client-side online threats.

The swift advancement of AI is transforming the fraud landscape by making attack tools more sophisticated, adaptive, and accessible. Consequently, fraud and cybersecurity protection systems are increasingly vital and must continuously evolve to remain ahead of attackers deploying scalable, intelligent campaigns. As part of this team, you will contribute to innovative products designed to identify malicious automation, reinforce security measures, and protect digital platforms against complex threats posed by bots, scripts, and other automated techniques.

This position offers the opportunity to work in a dynamic environment addressing intricate security challenges within a market that values innovation, speed, and resilience. Individuals passionate about tackling challenging problems, analyzing large datasets, converting concepts into well-designed solutions, and developing efficient, enterprise-grade services that safeguard millions globally will find this team an ideal fit.

Join us in shaping the future of data security. Apply now and be part of a dynamic team dedicated to building innovative and robust solutions for the challenges of tomorrow!

Key Areas of Responsibility:

• Be a key contributor on a small, agile team that owns the entire technology stack — from infrastructure and data pipelines through statistical/AI/ML models to UI/UX — designing and building highly scalable, near real-time SaaS systems that process large volumes of events worldwide to protect millions of users globally.

• Solve algorithmic, scalability, reliability, and performance challenges while contributing to the development of enterprise-grade, cloud-based, near real-time distributed SaaS solutions used by millions of users worldwide.

• Investigate complex, data-driven challenges by analyzing and processing large-scale datasets to uncover patterns, anomalies, and actionable insights.

• Collaborate closely with product and engineering teams to translate research insights into production-ready algorithms, statistical models, and ML models that deliver measurable customer value.

• Take full ownership of initiatives from concept to deployment, demonstrating a strong ability to execute, remove blockers, and deliver impactful results.

Minimum Qualification:

• 
  Bachelor’s degree in Computer Science or equivalent practical experience, with at least 5 years of hands-on programming in Java, JavaScript, Python, or Rust.

• Strong foundation in algorithms, data structures, and core software development principles.

• Experience building cloud-based applications (preferably on AWS), working with microservices architectures, and designing highly scalable SaaS systems.

• Background in Data Science, Data Analysis, Statistics, or Machine Learning, with practical experience applying these concepts to real-world problems.

• Experience analyzing large-scale data using distributed SQL and/or NoSQL database systems.

If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community! https://careers.thalesgroup.com/global/en/jointalentcommunity. You can upload your CV and our recruiters can get in touch with any new opportunities that may be of interest to you.

The anticipated TTC range for this role is 118,377.21 - 157,996.89 - 197,496.11 CAD Annual. The Company reserves the right to ultimately pay more or less than the posted range and offer additional benefits and other compensation, depending on circumstances not related to an applicant’s status protected by local, state, or federal law.

If you’re excited about working with Thales, but not meeting the requirements for this position, we encourage you to join our Talent Community! https://careers.thalesgroup.com/global/en/jointalentcommunity. You can upload your CV and our recruiters can get in touch with any new opportunities that may be of interest to you.

Why Join Us?

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Thales provides an extensive benefits program for all full-time employees working 24 or more hours per week and their eligible dependents, including the following:

• Company paid Extended Health, Dental, HSA, Life, AD&D, Short-term Disability, Cancer Care Program, travel insurance, Employee Assistance Plan and Well-Being program.
• Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
• Company paid holidays, vacation days, and paid sick leave.
• Voluntary Life, AD&D, Critical Illness, Long-Term Disability.
• Employee Discounts on home, auto, and gym membership.

Thales is an equal opportunity employer which values diversity and inclusivity in the workplace. Thales is committed to providing accommodations in all parts of the interview process. Applicants selected for an interview who require accommodation are asked to advise accordingly upon the invitation for an interview. We will work with you to meet your needs. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.