Payments Product Analytics - Senior Product Manager
TBCASoft is a blockchain technology company that develops cross-carrier networks for telecom operators, mobile payment service providers, and financial institutions. Its HIVEX network enables interoperable cross-border QR payments, while CCIS provides blockchain-based identity and credential verification.
About TBCASoft, Inc.
TBCASoft develops carrier-consortium-based blockchain platforms deployable across multiple cloud environments. Its offerings connect global mobile carriers, payment service providers, and financial institutions to support mobile payments, fintech, digital identity, and IoT applications. The company develops and operates HIVEX, a cross-border mobile payment network for interoperable QR payments, and provides CCIS, a blockchain-based platform for identification, credential verification, and document authentication.
Skills
About the Role
You will define and build core product analytics capabilities that detect and mitigate fraudulent activity and AML/CTF risks. You will instrument critical metrics, design platform-centric detection and mitigation approaches, and develop enterprise fraud and risk frameworks. You will monitor evolving threats and industry trends, assess issuing and acquiring risks, and translate analytics into actionable product features. You will work with large unstructured data, BI tools, and data science prototypes, and collaborate with cross-functional teams and external partners to deliver scalable analytics solutions.
Requirements
- Domain expertise in payment risks and processing methods including card network, ACH, check, virtual cards, digital wallets, and international payments
- 7+ years of product management experience with data platforms and insights products at scale
- Familiarity with large scale unstructured data
- Experience with BI tools such as Tableau and Qlik
- Strong technical skills in SQL and R/Python
- Hypothesis testing and experimentation (A/B testing)
- Ability to balance strategy, execution, and operational activities
- Self-driven and able to thrive in fast-paced, high-growth environments
- BS in Computer Science, Statistics, Engineering or equivalent (MS/MBA preferred)
Responsibilities
- Define and develop core analytics capabilities
- Instrument critical metrics for detection and mitigation
- Design platform-centric detection and mitigation for fraud and AML/CTF
- Develop enterprise fraud and risk frameworks and strategies
- Maintain awareness of evolving threats and industry trends
- Assess issuing and acquiring risks and mitigations
- Collaborate with cross-functional teams and external partners
