Fraud & Risk Analytics Analyst — AI‑Driven Finance

Coinhako; Singapore; On-site; SGD 70,000 - 110,000; Full time

Benefits offered by this job

Medical coverage (GP, Specialist)

Generous annual leave

Self-care benefits

Vibrant office & pantry

Job summary

Coinhako in Singapore is seeking a Data Analyst to build the systems behind the numbers for fraud detection, risk management, and accurate financial reporting.

You will work with Finance, Risk, Compliance, and Operations to frame questions, develop dashboards, and translate business problems into actionable insights. The role offers mentorship and a clear path toward senior analyst tracks in risk, fraud, or financial data science, with emphasis on AI-driven platforms.

Qualifications

• 2–4 years of data analytics or BI experience.
• Proficient in SQL and Python for data analysis.
• Experience with financial, transaction, or risk data.
• Ability to translate business questions into analyses.
• Interest in applying AI/ML to risk and fraud; hands-on welcome.
• Strong communication and cross-functional collaboration.

Responsibilities

• Investigate key finance, risk, and fraud questions.
• Analyze transactions, trends, and customer activity to spot anomalies and risk exposures.
• Partner with Finance, Risk, Compliance, and Operations to frame questions and evaluate controls.
• Translate business problems into structured analysis and actionable insight.
• Develop and maintain dashboards and alerts to monitor performance and risk.
• Help shape data and AI platforms with guardrails and reliability checks.

Skills

Data analytics

Strong SQL

Python for analysis

Financial data

Analytical problem solving

AI/ML interest

Tools

Power BI

Tableau

dbt

Airflow

Job description

Coinhako in Singapore is seeking a Data Analyst to build the systems behind the numbers for fraud detection, risk management, and accurate financial reporting.

You will work with Finance, Risk, Compliance, and Operations to frame questions, develop dashboards, and translate business problems into actionable insights. The role offers mentorship and a clear path toward senior analyst tracks in risk, fraud, or financial data science, with emphasis on AI-driven platforms.