coinhako - Data Analyst (Finance, Risk & Fraud)
Requirements
• 2–4 years in data analytics or business intelligence • Python for analysis and automation • Experience with financial, transaction, or risk/fraud data • Ability to turn ambiguous business questions into analytical investigations • Interest in applying AI/ML to risk, fraud, and reporting problems (hands-on experience welcome, not required) • Strong communication and cross-functional collaboration • Financial services, fintech, or crypto experience, and familiarity with financial reporting or reconciliation • Dashboarding tools (Power BI, QuickSight, Tableau) • Exposure to fraud detection, anomaly detection, AML / transaction monitoring, or risk modelling • Comfort contributing to automated data pipelines • Cloud services and data-engineering tooling (AWS, dbt, Airflow) • What Success Looks Like: • Finance, Risk, and Fraud teams clearly understand what drives their key metrics and exposures • Decisions are increasingly data-informed • Analytics assets are trusted, widely used, and continuously improved • Our automated risk, fraud, and reporting platforms run reliably — high uptime, accurate outputs, and AI analysis teams act on with confidence
Responsibilities
• Investigate key finance, risk, and fraud questions • Analyze transactions, financial trends, and customer activity to spot anomalies, fraud patterns, and risk exposures • Dig into what drives key metrics, not just report on them • Partner with teams to drive decisions • Work closely with Finance, Risk, Compliance, and Operations to frame questions and evaluate controls and initiatives • Translate business problems into structured analysis and actionable insight • Build useful analytics • Develop and maintain dashboards and alerts that help teams monitor financial performance, fraud signals, and risk metrics — and explore the data themselves • Improve how metrics and insights are communicated across the company • Help shape our AI-driven risk, fraud, and reporting platforms • Turn manual checks into automated monitoring that keeps reporting, fraud, and risk systems accurate and reliable • Help design and validate the data and AI logic behind these platforms — anomaly detection, transaction monitoring, LLM/RAG analysis — plus the guardrails that keep their outputs trustworthy • Strengthen our data foundations • Work with the data team to improve data quality, metric definitions, and unified datasets • Help build reliable data assets that support advanced analytics and AI initiatives (RAG, agentic AI)
Benefits
• Friendly and fun start-up work culture • Convenient work location located in the heart of CBD area • Generous annual leaves on top of national holidays • Medical coverage including GP, Specialist, TCM, and more • Self-care benefits and exciting fitness workshops/webinars • Vibrant office with a well-stocked pantry • Find out more about Coinhako here https://www.coinhako.com/ and don't forget to visit our Careers Page https://www.coinhako.com/join-us • By submitting your application to us, you consent to the collection, use, disclosure and processing of your personal data in accordance with our privacy policy, which is accessible at https://www.coinhako.com/legal/sg-1/privacy_policy.
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