{"id":6,"date":"2025-06-24T11:46:57","date_gmt":"2025-06-24T11:46:57","guid":{"rendered":"https:\/\/atna.ai\/careers-wp\/?p=6"},"modified":"2025-08-14T05:41:12","modified_gmt":"2025-08-14T05:41:12","slug":"frontend-developer","status":"publish","type":"post","link":"https:\/\/atna.ai\/careers-wp\/frontend-developer\/","title":{"rendered":"Frontend Developer"},"content":{"rendered":"\n

Designing beautiful and accessible interfaces using modern front-end frameworks<\/p>\n\n\n\n

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    \n<\/p>

    <\/div>\n<\/form>\n<\/div>\n<\/div>\n\n\n\n

    The Problem: KYC Kills Conversions<\/h2>\n\n\n\n

    KYC is critical\u2014but also painful. Every additional step in identity verification increases user friction, which directly impacts conversion rates, especially in onboarding-heavy industries like fintech, BNPL, and neobanking.<\/p>\n\n\n\n

      \n
    • Users abandon when upload fails<\/li>\n\n\n\n
    • They quit when video liveness takes too long<\/li>\n\n\n\n
    • They hesitate when asked for too much too soon<\/li>\n<\/ul>\n\n\n\n

      But removing checks is risky. So the real question is: How can platforms improve completion rates without compromising fraud detection or compliance?<\/strong><\/p>\n\n\n\n

      The Solution: Intelligent, Friction-Less KYC<\/h2>\n\n\n\n

      Here\u2019s how smart platforms are reducing drop-offs while still managing identity risk:<\/p>\n\n\n\n

      1. Replace Liveness Video with Image-Based Verification<\/h3>\n\n\n\n

      Videos take time to record, fail in poor networks, and intimidate users. ATNA uses image-only checks\u2014verifying document integrity and facial consistency without requiring a selfie video.<\/p>\n\n\n\n

      Impact:<\/strong><\/p>\n\n\n\n

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      • 30% reduction in dropout during selfie stage<\/li>\n\n\n\n
      • Works well in Tier-2\/3 markets with low bandwidth<\/li>\n<\/ul>\n\n\n\n

        2. Pre-Fill What You Can from the Document<\/h3>\n\n\n\n

        Instead of asking users to manually type their name, DOB, and address, extract those directly from the uploaded ID and auto-fill the form. ATNA\u2019s AI-KYC does this in real time.<\/p>\n\n\n\n

        Impact<\/strong>:<\/p>\n\n\n\n

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        • Reduces user effort<\/li>\n\n\n\n
        • Prevents mismatches due to typos<\/li>\n<\/ul>\n\n\n\n

          3. Skip Extra Documents Using ATNA Score<\/h3>\n\n\n\n

          Instead of asking for additional documents when you\u2019re unsure, use ATNA Score to calculate real-time onboarding risk based on document quality, digital footprint, and passive behavior signals.<\/p>\n\n\n\n

          Impact<\/strong>:<\/p>\n\n\n\n

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          • 25% reduction in document re-request<\/li>\n\n\n\n
          • Better user experience without cutting risk coverage<\/li>\n<\/ul>\n\n\n\n

            4. Start with Passive Signals First<\/h3>\n\n\n\n

            Before even asking the user for a document, analyze device, IP, network, and behavioral traits using ATNA\u2019s Digital Footprinting.<\/p>\n\n\n\n

            Impact<\/strong>:<\/p>\n\n\n\n

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            • Identify suspicious users before asking for verification<\/li>\n\n\n\n
            • Personalize the level of KYC required<\/li>\n<\/ul>\n\n\n\n

              5. Use Conditional Workflows Based on Risk Tier<\/h3>\n\n\n\n

              All users don\u2019t need full KYC. ATNA lets you adjust flows:<\/p>\n\n\n\n

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              • Low-risk: Document + image validation<\/li>\n\n\n\n
              • Medium-risk: Add footprinting + extra ID<\/li>\n\n\n\n
              • High-risk: Redirect to manual review<\/li>\n<\/ul>\n\n\n\n

                Impact<\/strong>:<\/p>\n\n\n\n

                  \n
                • Right-sized effort for every user<\/li>\n\n\n\n
                • Reduces over-verification and under-verification risks<\/li>\n<\/ul>\n\n\n\n

                  Conclusion<\/h2>\n\n\n\n

                  Reducing KYC drop-offs isn\u2019t about removing checks\u2014it\u2019s about making them smarter, faster, and invisible where possible.<\/strong> ATNA delivers adaptive KYC without compromising.<\/p>\n","protected":false},"excerpt":{"rendered":"

                  Discover how AI-driven document checks and passive footprinting reduce friction while enhancing fraud controls<\/p>\n","protected":false},"author":1,"featured_media":43,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-6","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/posts\/6","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/comments?post=6"}],"version-history":[{"count":5,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/posts\/6\/revisions"}],"predecessor-version":[{"id":50,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/posts\/6\/revisions\/50"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/media\/43"}],"wp:attachment":[{"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/media?parent=6"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/categories?post=6"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/atna.ai\/careers-wp\/wp-json\/wp\/v2\/tags?post=6"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}