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Rio JulianRJ
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Rio Julian

@riojulian

I build AI and risk operations that reduce fraud and transform financial-services customer engagement.

Japan
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What I'm looking for

I'm looking to build and advise AI, risk, and financial-services businesses where I can turn analytics into measurable operational and commercial outcomes.

I founded Kataliz.AI to solve operational challenges for call centers and BPOs across Southeast Asia's financial-services sector. Our agentic AI products support debt collection, lead generation, and customer management, with a focus on Indonesia.

I developed SmartQA to automate telesales quality assurance, processing 3,000 conversations monthly, and deployed SmartRobo for subscription renewal, telesales, and interviews. SmartRobo processes about 80,000 calls per day for debt collector agencies in Jakarta and Malaysia.

At Paidy, a PayPal company, I built and led a 10-person fraud operations team and used ThreatMetrix, DataDog, and SQL-based tools to reduce fraud-detection effort by 20%. I helped cut annual fraud losses from 1% to 0.5% of total revenue and digitized merchant onboarding to reduce underwriting lead time by 50%.

Earlier, I delivered credit, analytics, and risk outcomes at American Express, CitiCards Japan, Tokyo Star Bank, Deloitte, and PwC. My work has included credit models, machine learning, strategic data partnerships, merchant risk, and teams that turn data into measurable business value.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Tokyo Institute of Technology logoTT

Tokyo Institute of Technology

Master of Engineering, Industrial Engineering

2004 - 2006

Grade: 4.0/4.0

Master's degree in Industrial Engineering from Tokyo Institute of Technology, with a perfect GPA of 4.0 out of 4.0.

Institut Teknologi Bandung logoIB

Institut Teknologi Bandung

Bachelor of Engineering, Industrial Engineering

1998 - 2003

Grade: 3.5/4.0

Bachelor's degree in Industrial Engineering from Institut Teknologi Bandung, achieving a GPA of 3.5 out of 4.0.

Tech stack

Software and tools used professionally

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