Risk & Fraud Data Analyst | SQL/Python

Protecting Digital Transactions Through Data Intelligence and InsightWork with an award-winning fintech disruptor committed to reshaping how global businesses manage payments and risk. Here, data analytics meets financial innovation to protect transactions at scale. Collaborate with experts transforming outdated banking models into agile, technology-driven systems. Every query you write and insight you uncover strengthens global trust, fuels business growth, and defines the new frontier of risk management.Job DescriptionBe part of our client's team as a Risk and Fraud Data Analyst, using SQL, Python, and data visualization to detect fraud patterns, perform in-depth investigations, and deliver actionable insights. You'll design analytical frameworks, strengthen data integrity, and develop dashboards that enhance fraud detection, risk strategies, and financial compliance across global operations.Job OverviewEmployment type: Full-timeShift: Day Shift & Weekends OffWork setup: Permanent Work-From-HomeExciting Perks Await!Day 1 HMO coverage with free dependentCompetitive Salary PackagePermanent WFH arrangementDay shift scheduleFixed weekends offFully customized Emapta laptop with peripheralsSalary Advance Program through our banking partner (Eligibility and approval subject to bank assessment. Available to account holders with minimum of 6 months company tenure.)Unlimited upskilling through Emapta Academy courses (Want to know more? Visit https://bit.ly/EmaptaTrainingCalendar)Free 24/7 access to our office gyms (Ortigas and Makati) with a free physical fitness trainer!Exclusive Emapta Lifestyle perks (hotel and restaurant discounts, and more!)Unlimited opportunities for employee referral incentives across the organizationStandard government and Emapta benefitsTotal of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash)Fun engagement activities for employeesMentorship and exposure to global leaders and teamsCareer growth opportunitiesDiverse and supportive work environmentThe Qualifications We Seek3-5 years' experience in Data Analytics focused on fraud risk, AML, compliance, or transaction monitoring, preferably in fintech or financial servicesAdvanced SQL skills for querying, data extraction, transformation, and report automation across large, complex datasets (required)Strong proficiency in Python, including libraries such as Pandas, NumPy, and Matplotlib for data analysis and automation (required)Proven ability to perform end-to-end data analysis - from data collection and validation to risk pattern identification and compliance reportingDemonstrated experience developing dashboards and data visualizations using tools such as Sisense, Databricks, Mode, or equivalent BI platformsSolid understanding of statistical methods (hypothesis testing, regression, experimental design) and their application to fraud detection and risk modelingWorking knowledge of fraud typologies, AML regulations, and transaction monitoring frameworksFamiliarity with ETL/ELT tools (dbt, Airflow) and cloud platforms (AWS) is a plusYour AttributesPossesses an investigative mindset and a passion for solving complex puzzles.Challenges the status quo with curiosity and innovation.Agile, ambitious, and motivated to achieve excellence.Demonstrates exceptional attention to detail.Exhibits structured problem-solving skills and adaptability in ambiguous situations.Translates complex data into clear, actionable insights.Your Daily TasksFraud & AML AnalyticsUse SQL and Python to query large datasets to identify, analyze, and interpret trends or patterns related to fraudulent behavior and financial crime.Conduct in-depth investigations into complex fraud patterns and suspicious activities, translating findings into actionable rules and preventive measures.Develop and maintain dashboards and visualizations to track key risk indicators (KRIs) and communicate findings to stakeholders across the business.Statistical Analysis & InsightsApply statistical methods to generate insights, perform root cause analyses, and provide recommendations to improve risk strategies.Design and analyze A/B tests and other experiments to evaluate the effectiveness of risk rules and product changes.Collaborate with cross-functional teams to define key metrics and build analytical frameworks for measuring and monitoring risk.Data Management & IntegrityDesign and maintain robust data pipelines and datasets to support risk and compliance analytics needs.Build and optimize processes to ensure the highest standards of data accuracy and reliability in all risk-related reporting and analysis.About the ClientIn the fast-paced world of financial technology, our client stands as a trailblazer in reshaping how businesses move money. Fueled by data, innovation, and trust, they're turning outdated payment processes into seamless digital experiences. Backed by leading investors and powered by fintech experts, they've earned recognition for simplifying business banking and empowering entrepreneurs to transact smarter, faster, and safer-proving that in the new era of finance, agility isn't just an edge, it's the currency.Welcome to Emapta Philippines!Join a team that values camaraderie, excellence, and growth. Recognized as one of the Top 20 Dream Companies of Filipinos in 2024, Emapta stands proudly alongside industry giants, offering stability and exciting career opportunities. Your career flourishes here with competitive compensation, international clients, and a work culture focused on collaboration and innovation. Work with global clients across industries, supported by a strong foundation and passionate professionals committed to making an impact.Grow with us and be part of the #EmaptaEra!