Senior Data Analyst
Job Summary
Job Description
Design, develop, and maintain reports and dashboards for fraud risk, suspicious activity, transaction monitoring, and regulatory compliance. Build and enhance Power BI dashboards to visualize key AML and fraud KPIs. Analyze large datasets to detect anomalies, trends, and fraud patterns. Support the development of predictive risk models using Python, pandas, and scikit-learn. Write and optimize complex SQL queries. Collaborate with compliance officers, fraud investigators, data scientists, and product teams. Conduct data validation, cleansing, and reconciliation. Work closely with engineering teams to define data models and identify areas for improvement in alerting logic or case management workflows.
Must have:
- 3 years of experience in data analysis and business intelligence
- Strong proficiency in Power BI (DAX, Power Query) and data modeling
- Proficient in Python for data manipulation and report generation
- Experience with SQL for working with relational databases
- Experience with Agile Tools (JIRA, Confluence, BitBucket, Github)
- Excellent problem-solving skills
- Strong communication skills and ability to work cross-functionally
- Team player with a proactive and accountable work attitude
Good to have:
- Experience in AML, fraud detection/prevention, financial crime investigations, or regulatory compliance within fintech, banking, or digital payments
- Familiarity with AWS services commonly used in fraud and AML pipelines
- Experience with cloud-based data platforms (AWS, GCP, or Azure)
- Exposure to third-party fraud or AML platforms
- Understanding of KYC, SARs, transaction monitoring, sanctions screening, or related AML regulations
18 skills required
Job Details
Job Description
- Design, develop, and maintain reports and dashboards related to fraud risk, suspicious activity, transaction monitoring, and regulatory compliance.
- Build and enhance Power BI dashboards to visualize key AML and fraud KPIs (e.g., alert volumes, false positives, escalation rates).
- Analyze large datasets (transactions, customer behavior, device data) to detect anomalies, trends, and fraud patterns.
- Support the development of predictive risk models (e.g., fraud scoring, anomaly detection) using Python, pandas, scikit-learn, etc.
- Write and optimize complex SQL queries for extracting and transforming data from multiple fraud/AML-related systems.
- Collaborate with compliance officers, fraud investigators, data scientists, and product teams to gather requirements and build tailored data solutions.
- Conduct data validation, cleansing, and reconciliation to ensure accuracy of fraud/AML reporting and alert generation.
- Work closely with engineering teams to define and document data models
- Identify areas of improvement in alerting logic, rules tuning, or case management workflows through deep-dive analysis
- Partner with data engineering teams to improve data availability, reliability, and performance for analytics use cases
Pre-Requisites :
Nice to Have
- Experience in AML, fraud detection/prevention, financial crime investigations, or regulatory compliance within fintech, banking, or digital payments.
- Familiarity with AWS services commonly used in fraud and AML pipelines (e.g., S3, Lambda, Glue, Athena).
- Experience with cloud-based data platforms (AWS, GCP, or Azure) for secure, scalable handling of sensitive transaction and customer data.
- Exposure to third-party fraud or AML platforms is a plus.
- Understanding of KYC, SARs, transaction monitoring, sanctions screening, or related AML regulations (e.g., BSA, FATF, OFAC).
Requirements
- Bachelor’s degree in Data Science, Computer Science, Information Systems, or related field.
- Minimum 3 years of experience in data analysis and business intelligence.
- Strong proficiency in Power BI (DAX, Power Query) and data modeling.
- Proficient in Python for data manipulation and report generation.
- Experience with SQL for working with relational databases.
- Experience with Agile Tools (JIRA, Confluence, BitBucket, Github)
- Excellent problem-solving skills.
- Strong communication skills and ability to work cross-functionally.
- Experience in handling financial datasets is a strong advantage.
- Team player with a proactive and accountable work attitude.
Are you game?
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About The Company
At Razer, you'll be at the forefront of the most exciting industry in the world — gaming. Evolving forms of gaming require evolving forms of hardware, software and services. That’s where Razer comes in, offering innovative top-of-the-line products and services to allow gamers to fully immerse in the ultimate gaming experience.Getting onboard Razer will place you on a global mission to bring gamers closer to the games they love. Razer is a place to do great work, offering you the opportunity to be a part of a global team across 11 countries. Whether you are a hardcore evangelist who breathe life to the latest and greatest gaming gear or a behind-the-scene hero who runs our global operations, you are assured of a career-changing quest that transcends time zones and culture with one single spell: For Gamers. By Gamers.The journey towards phenomenal-ness won’t come easy. However, we will excel because gamers rely on teamwork. We achieve greatness because we are wicked problem-solvers and tenacious in clinching victories in all that we do. It is the team that makes Razer where it is today and will continue to bring Razer to even greater heights.
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