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Fraud Analytics Lead

Kredivo Group kredivocorp.com Open · verified Oct 24, 2026
Jakarta Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Kredivo Group. Jakarta · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SenioritySenior
LocationJakarta
EmploymentFull-time
PostedJul 23, 2026 · 3mo ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Set fraud analytics plans for onboarding, transactions, account and merchant activity, and other customer journeys
  • Study suspicious behavior and portfolio trends, then recommend steps to reduce fraud exposure
  • Refine fraud rules, thresholds, customer segments and monitoring settings as patterns change
  • Maintain fraud dashboards, warning indicators and risk measures, and prepare regular management updates
  • Turn investigation findings into detection controls, support launches and process changes, and guide fraud analysts

What you bring

  • At least eight years in fraud, risk or data analytics within fintech, digital lending, digital banking or e-commerce
  • At least two years leading an analytics team
  • Advanced SQL and data analytics skills, plus conversational English
  • You understand fraud risks across digital financial products, including identity, account takeover and transaction fraud

Who this fits

This is a senior analytics leadership role for someone who can turn complex fraud data into practical controls and business recommendations. You’ll lead and mentor fraud analysts, report to the Head of Fraud, and work across operations, risk, product, data, engineering, security and business teams. The role is based in Jakarta, Indonesia.

From the employer

  • Fraud Analytics Lead

Fraud Analytics Lead is responsible for leading fraud analytics initiatives to monitor, detect, prevent, and mitigate fraud risks across the company’s products and end-user lifecycle. This role will translate fraud patterns, transaction behavior, portfolio signals, and operational findings into actionable fraud strategies, rules, monitoring, and risk controls. The role reports to the Head of Fraud and will work closely with Fraud Operations, Risk, Product, Data Science, Engineering, Information Security and Business teams to ensure fraud risk is managed effectively while supporting business growth and end-user experience.

About the job:

  • Lead the development and execution of fraud analytics strategies across onboarding, transaction monitoring, account activity, merchant activity, and other relevant customer journeys.
  • Analyze fraud trends, suspicious patterns, and portfolio behavior to identify risks and recommend preventive actions.
  • Develop, review, and optimize fraud rules, thresholds, segmentation logic, and monitoring parameters.
  • Build, maintain and monitor fraud dashboards, early warning indicators, fraud risk metrics, and regular management reporting.
  • Work closely with Fraud Operations to convert investigation findings into scalable fraud detection rules and preventive controls.
  • Partner with other teams to implement and improve prevention, detection, monitoring and implementation
  • Provide analytical support for new product launches, new channels, process changes, and business initiatives from a fraud risk perspective.
  • Lead and mentor fraud analysts, ensuring strong analytical quality, structured problem solving, and timely delivery.

About you:

  • Minimum 8 years of experience in fraud analytics/risk analytics/data analytics in fintech/digital lending/digital banking/e-commerce.
  • Experience in anti-fraud for digital banking and/or financial technology companies will be a significant plus.
  • Minimum of 2 years leading analytics team.
  • Advance knowledge in SQL and data analytics is required.
  • Strong understanding of fraud risk management across digital financial products, including identity fraud, account takeover, transaction fraud, merchant fraud, collusion, abuse patterns, and social engineering-related fraud.
  • Conversational ability in English is required.
  • Strong analytical skills with the ability to translate complex data into practical fraud strategies and business recommendations.
  • High ownership, structured thinking, attention to detail, and ability to work in a fast-paced environment.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

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Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.