Posted 17 July, 2026
Senior Data Scientist, Sign3
Cedar Group
Gurgaon,Haryana,India,122016
Full Time
Reference: 474_472051_378964000024026096
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\n About Sign3<\/b>
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\n Sign3 is an AI\-first customer intelligence platform powering fraud prevention, risk scoring, and smarter onboarding decisions for leading FinTech<\/span><\/span><\/span>s, banks, and digital businesses. Our flagship SDK and APIs analyze device, behavioral, and digital footprint signals to help clients detect synthetic identities, money mule accounts, and other fraud vectors-in real time. We work with top\-tier players across credit cards, lending, gaming, and neo\-banking, helping them unlock trusted growth at scale. Our systems process millions of risk events per day, with millisecond\-level performance and precision. At Sign3, you'll get to build in a fast\-paced, impact\-focused environment alongside a lean, high\-ownership team.
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\n The Role<\/b>
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\n We are looking for a Senior Data Scientist to build and deploy machine learning models that power fraud detection, risk scoring, and credit decisioning for our fintech and banking partners. You will own the end\-to\-end model lifecycle, from data exploration and feature engineering to deployment, monitoring, and iteration, while working closely with engineering and product teams.
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\n What You'll Do<\/b>
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- Develop machine learning and statistical models for fraud prevention, risk scoring, and credit underwriting
<\/span><\/li>\n- Analyze large\-scale behavioral and transactional datasets to identify patterns, anomalies, and emerging fraud trends
<\/span><\/li>\n- Design and run experiments to evaluate, compare, and improve model performance
<\/span><\/li>\n- Partner with engineering to deploy models into production and ensure they are reliable, observable, and performant at scale
<\/span><\/li>\n- Monitor live models for drift and degradation, and lead retraining and improvement cycles
<\/span><\/li>\n- Collaborate with product and risk teams to translate business problems into modeling solutions<\/span>
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\n <\/div>\n\n What We're Looking For<\/b>
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- Bachelor's degree or higher in Computer Science, Statistics, Applied Mathematics, or a related field
<\/span><\/li>\n- 5+ years of experience in data science, with exposure to FinTech<\/span><\/span><\/span> or financial services preferred
<\/span><\/li>\n- Strong expertise in Python and SQL, and hands\-on experience with ML frameworks such as scikitlearn, XGBoost, PyTorch, or TensorFlow
<\/span><\/li>\n- Solid foundation in classical machine learning, statistical modeling, and experiment design
<\/span><\/li>\n- Experience taking models from notebook to production, including monitoring and iteration
<\/span><\/li>\n- Ability to communicate complex findings clearly to technical and non\-technical stakeholders
<\/span><\/li>\n <\/ul>\n\n What We Offer<\/b>
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- Competitive compensation and meaningful equity
<\/span><\/li>\n- High\-ownership role in a fast\-growing AI startup
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\n <\/body>\n<\/html> - High\-ownership role in a fast\-growing AI startup
- 5+ years of experience in data science, with exposure to FinTech<\/span><\/span><\/span> or financial services preferred
- Analyze large\-scale behavioral and transactional datasets to identify patterns, anomalies, and emerging fraud trends
