Risk Data Analyst

About Our Client

Our client is the pioneer and largest provider of offshore managed services in the Philippines, with over 9,000 professionals across 13 delivery centers. They empower organizations to scale through dedicated offshore and nearshore teams, combining highly skilled talent, certified operational excellence, and trusted delivery to create measurable, long-term impact for both businesses and professionals.

Why Join Our Client

• Competitive Rewards: Enjoy above-market compensation, healthcare coverage on day one, plus one or more dependents, paid time-off with cash conversion, group life insurance, and performance bonuses
• Collaborative Spirit: Contribute to a positive and engaging work environment by participating in company-sponsored events and activities.
• Work-Life Harmony: Enjoy the balance between work and life that suits you with flexible work arrangements.
• Career Growth: Take advantage of opportunities for continuous learning and career advancement.
• Inclusive Teamwork: Be part of a team that celebrates diversity and fosters an inclusive culture.

Role Responsibilities

• Fraud and AML Analytics
  • Using SQL and Python to query large datasets to identify, analyse, and interpret trends or patterns related to fraudulent behaviour and financial crime
  • Conducting in-depth investigations into complex fraud patterns and suspicious activities, translating findings into actionable rules and preventative measures
  • Developing and maintaining powerful dashboards and visualisations to track key risk indicators (KRIS) and communicate findings to stakeholders across the business

• Statistical Analysis and Insights
  • Applying statistical methods to generate deep insights, perform root cause analysis, and provide recommendations for improving risk strategies
  • Designing and analysing A/B tests and other experiments to evaluate the effectiveness of risk rules and product changes
  • Collaborating with cross-functional teams to define key metrics and build analytical frameworks for measuring and monitoring risk

• Data Management and Integrity
  • Designing and maintaining robust data pipelines and datasets to support our risk
  • Constructing and optimising processes to ensure the highest standards of data accuracy and reliability in all risk-related reporting and analysis and compliance analytics needs

Requirements

• 2-5 years of experience in a Data Analytics role, specifically focused on fraud risk, AML, or transaction monitoring, preferably in a high-growth fintech or financial services environment
• Expert proficiency in SQL, with experience writing complex queries and optimising performance on large datasets
• Strong proficiency in Python for data manipulation, analysis, and scripting (using libraries like Pandas, NumPy, Matplotlib)
• Proven experience with data visualisation tools such as Sisense, Databricks, Mode or similar platforms to create insightful and actionable dashboards
• Strong foundation in statistics (e.g., hypothesis testing, experimental design, regression analysis) and the ability to apply these concepts to business problems
• Deep understanding of fraud typologies, AML regulations, and transaction monitoring principles
• Experience with ETL/ELT frameworks and tools for building analytical datasets
• Cloud experience in AWS is advantageous

Working Conditions

• Full-Time, 100% Remote, Dayshift