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FIS Partners with Stratyfy to optimize fraud detection.

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We’re transforming how financial institutions make decisions, unlocking data-driven growth without added risks or the need for in-house data experts.

With our interpretable AI solutions, financial institutions are making more accurate, efficient, and fair financial decisions in credit risk, fraud, and compliance.

Awards & Achievements

Case Study
FIS Logo

Stratyfy partnered with FIS to enhance their ability to detect fraud across their transaction ecosystem. While using Stratyfy’s solutions, FIS saw a notable reduction of false positives and a significantly increased level of fraud captured across both credit and debit card transactions. Since April 2023, we have delivered a 27% increase in accurately identified and prevented fraud transactions and a 24% decrease in false positives, resulting in a higher authorization rate for FIS’ customers.

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News & Press

Stratyfy Careers

Let’s make financial services more transparent – together. Stratyfy is on a mission to bring greater transparency and less bias to critical financial decisions that impact millions of people – and we want you to be a part of it. We’re looking for team members excited about the future of interpretable AI and its potential to drive financial inclusion worldwide.

  • Data Scientist

    Data Scientist

    We are looking for a highly motivated Data Scientist to enrich our product with new features, enhance our research, and lead innovation initiatives. As a research team leader, you are expected to set a strong tone of team collaboration, attention to detail, dedication to quality, and harbor the ability to prioritize. At Stratyfy, you’ll have agency over your work and the opportunity to shape our company every day. If working on a small, fast paced team to develop products that can help transform peoples’ lives sounds exciting to you, we’d love to meet you!

    What You’ll Do at Stratyfy

    • Take a leadership role in planning and managing research projects
    • Partner with members of our Engineering team to set the direction of our platform and ensure a two-way exchange of best practices
    • Convert research ideas to prototypes using Python
    • Manage the ambiguity of a small, rapidly-growing company: adjusting to changing priorities, making conscious tradeoffs when guidance is limited and information is incomplete, and instituting best practices from scratch when needed

    Experience You Bring To This Role

    • Ph.D. in a quantitative discipline
    • 10+ years of professional experience: designing, building, and debugging large-scale applications in production environments
    • Solid experience in statistical modeling, machine learning and artificial intelligence
    • Experience in team and project management
    • Problem solving mindset, creative and critical thinking
    • High level of proficiency in Python
    • Excellent communication skills in English, both orally and written

    How to Apply

    Please send us your resume and cover letter to, specifying the position you are applying for. We look forward to hearing from you!

    Apply Now Via Email////