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DataVisorDA

Customer Success Manager - Fraud/AML Strategy

DataVisor is an AI-powered fraud and risk management platform that utilizes unsupervised machine learning to help enterprises detect and prevent various digital threats in real-time.

DataVisor

Employee count: 51-200

Salary: ¥5M – ¥9M per year

Japan only

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DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's fraud and anti-money laundering (AML) solutions scale infinitely and enable organizations to act on fast-evolving fraud and money laundering activities in real time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide significant performance lift from day one. DataVisor's platform is architected to support multiple use cases across different business units flexibly, dramatically lowering total cost of ownership, compared to legacy point solutions. DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us!

Job Summary

As a Customer Success Manager (CSM), you will serve as a strategic partner to key enterprise clients, helping them drive ROI through advanced fraud detection, AML compliance, and operational optimization. You’ll lead customer engagements across a portfolio of Fortune 500 companies in FinTech, Banking, and E-commerce, providing expert guidance on how to maximize value from our industry-leading SaaS platform.

Your responsibilities include monitoring detection system performance, advising on best practices for using machine learning models, rules engine, and device intelligence signals, and identifying opportunities to reduce fraud or money laundering risks and streamline operations. You’ll work cross-functionally with Product and Engineering teams to advocate for customer needs and support ongoing innovation.

This role combines strategic consulting, data-driven decisioning, and hands-on product expertise to deliver measurable impact for our clients.

This is a remote-based position and will be located in Japan.

Requirements

  • Act as the primary point of contact and trusted advisor for assigned enterprise customers, ensuring successful onboarding, adoption, and long-term value realization
  • Understand client business models, fraud/AML risk exposure, and operational needs to define success criteria and shape tailored solution strategies
  • Partner closely with clients to align our fraud detection and AML platform capabilities to their goals, driving measurable improvements in fraud prevention, loss reduction, and operational efficiency
  • Coordinate with internal teams (including Modeling, Product, and Engineering) to ensure timely delivery of enhancements, issue resolution, and optimization of detection outcomes
  • Translate customer insights into actionable feedback for internal roadmap planning and product improvements
  • Monitor detection performance metrics, support quarterly business reviews, and proactively identify opportunities for expansion or deeper integration
  • Educate clients on best practices in fraud/AML strategies and platform usage to maximize return on investment
  • Represent the voice of the customer internally and the voice of our platform externally, including participation in industry events, customer workshops, and solution showcases

Skillset Requirements

  • 3+ years of experience in fraud strategy, risk analytics, customer success, or fraud operations within fintech, banking, payments, or e-commerce industries
  • Deep understanding of fraud/AML use cases such as transaction fraud, account takeover, promotion abuse, synthetic identity fraud, or mule detection
  • Experience working with machine learning-based detection systems and/or rule engines for fraud prevention
  • Strong analytical skills; proficient with SQL, and experience in Python or R for data exploration and investigation
  • Excellent verbal and written communication skills; able to explain technical concepts to both technical and non-technical stakeholders
  • Confident in leading customer-facing discussions and executive presentations
  • Highly organized with strong project ownership and time management skills; able to manage multiple enterprise accounts simultaneously
  • Bachelor’s degree in a technical, analytical, or business-related field; advanced degree a plus

Benefits

Base salary, bonus & PTO

Compensation: Annual salary range of JPY 5MM-9MM, commensurate with experience.

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Salary

Salary: ¥5M – ¥9M per year

Education

Bachelor degree

Experience

3 years minimum

Location requirements

Hiring timezones

Japan +/- 0 hours

About DataVisor

Learn more about DataVisor and their company culture.

View company profile

DataVisor is a global leader in AI-powered fraud and risk management. Founded in 2013, the company provides an end-to-end Software-as-a-Service (SaaS) platform that leverages advanced artificial intelligence and machine learning capabilities to protect large consumer-facing enterprises and financial institutions from a wide array of digital threats. These threats include fraudulent transactions, spam, fake reviews, promotion abuse, fake application installs, identity theft, and money laundering. DataVisor's mission is to build and restore trust online by enabling organizations to proactively combat evolving fraud patterns in real-time.

The company's platform is distinguished by its patented unsupervised machine learning (UML) technology. This approach allows the system to identify new and unknown malicious actors and coordinated fraud rings without relying on historical labels or training data, which is crucial for staying ahead of sophisticated and rapidly changing attack vectors. DataVisor's solutions are designed to be data-agnostic, capable of ingesting and analyzing vast amounts of data from various sources to provide a holistic view of risk. The platform offers comprehensive capabilities including data orchestration, real-time feature computation, a flexible decision engine, and powerful case management tools. It is built to scale, handling high transaction volumes with low latency, making it suitable for some of the world's largest organizations. DataVisor serves a diverse range of industries, including financial services, banking, credit unions, fintech, e-commerce, social platforms, and digital payments, helping them to reduce fraud losses, improve operational efficiency, minimize customer friction, and ensure regulatory compliance.

Claim this profileDataVisor logoDA

DataVisor

Company size

51-200 employees

Founded in

2013

Chief executive officer

Yinglian Xie, Fang Yu

Employees live in

View company profile

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