Product Manager – Fintech

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

✅ Product Manager

👻 Ghost score 25%

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Logo of Shuru

Shuru

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

🤝 B2B

🏢 Enterprise

Artificial Intelligence • B2B • Enterprise

Shuru is a product, AI, and technology consulting firm that partners with businesses to deliver strategic consulting, full-cycle product and custom software development, and curated engineering team extension. Their AI-native engineering teams build scalable AI applications, data engineering and analytics, cloud/DevOps, and API integrations to modernize systems and accelerate product delivery. Shuru operates globally with a remote-first model and emphasizes high ownership, design thinking, and measurable outcomes for enterprise and startup clients.

📋 Description

• Own the product roadmap for fraud prevention, detection, and Trust & Safety capabilities • Build solutions for identifying and preventing Account Takeovers (ATO), SIM Swap fraud, identity fraud, and transaction fraud • Develop real-time transaction monitoring and fraud decisioning capabilities • Work with Data Science and Engineering teams to implement rule-based and ML-driven fraud detection models • Define fraud signals, thresholds, risk scores, alerts, and automated actions • Analyze fraud patterns, customer behaviour, false positives, and emerging attack vectors • Balance fraud prevention, customer experience, operational efficiency, and financial risk • Define product requirements, success metrics, and experimentation strategies • Partner with Fraud Operations, Risk, Compliance, Engineering, and Analytics teams to improve fraud controls continuously • Monitor product performance through metrics such as fraud loss, detection rate, false-positive rate, approval rate, and customer friction

🎯 Requirements

• 4+ years of Product Management experience • Strong experience in Fraud, Trust & Safety, Risk, Payments, FinTech, Banking, or Financial Services • Hands-on understanding of fraud prevention and transaction monitoring systems • Experience working with real-time financial transaction data • Understanding of rules engines, risk scoring, and ML-based fraud models • Experience dealing with fraud scenarios such as ATO, SIM Swap, payment fraud, identity fraud, or suspicious transaction behaviour • Strong analytical and data-driven product decision-making skills • Ability to work closely with Engineering, Data Science, Risk, Compliance, and Operations stakeholders

🏖️ Benefits

• Competitive salary and benefits package • Opportunity to work with a team of experienced product and tech leaders • A flexible work environment with remote working options • Continuous learning and development opportunities • Chance to make a significant impact on diverse and innovative projects

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