12 часов назад
Product Manager - Transaction Monitoring (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager - Transaction Monitoring (Fintech): Building a first-generation transaction monitoring system that combines automated rules, AI-native detection, and machine-learning-driven risk analysis with an accent on real-time risk engines, alert management, case investigation, and regulatory compliance. Focus on identifying emerging financial crime typologies, reducing false positives, integrating third-party data providers, and translating customer feedback into product and fraud-prevention strategies.
Location: Bangalore, India
Company
provides a unified risk decisioning platform for compliance, fraud, and transaction risks, powered by a 1 billion+ identity knowledge graph and used by banks, fintechs, retailers, and digital platforms.
What you will do
- Define the roadmap for a transaction monitoring system transitioning from manual spreadsheets to automated, AI-native, rule-based, and ML-driven detection.
- Partner with Engineering on a scalable, low-latency real-time risk engine for high transaction volumes.
- Own core modules including rule engines, alert management, case investigation workflows, and SAR filing.
- Work with compliance and operations stakeholders and serve as the primary product contact for customer requirements, implementations, and adoption.
- Develop detection logic for emerging fraud patterns, reduce false positives, and evaluate third-party screening and identity verification providers.
- Consult with clients, deliver pre-sales demonstrations and product training, troubleshoot monitoring systems, and convert market feedback into roadmap improvements.
Requirements
- At least 3 years of experience in transaction monitoring, particularly in pre-sales, product consulting, or a client-facing technical role.
- Bachelor’s degree in Finance, Computer Science, Mathematics, or a related field.
- Strong SQL and data visualization skills, with the ability to identify fraud indicators in data.
- Ability to discuss APIs, webhooks, and system latency with engineering teams.
- Strong analytical, communication, presentation, customer-facing, and problem-solving skills.
- Adaptability and willingness to learn technologies and best practices in fraud risk and product management.
Nice to have
- CAMS or CFE certification.
- Familiarity with product lifecycle management and Agile methodologies.
Culture & Benefits
- Self-motivated environment with significant ownership and autonomy.
- Performance is valued over hours worked, with emphasis on speed, ownership, and impact.
- Competitive salary with potential equity.
- Health benefits, flexible PTO, and a learning budget.
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