Risk & Fraud Data Analyst | SQL/Python | WFH | Day 1 HMO

Protecting Digital Transactions Through Data Intelligence and Insight Work 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 Collaborate with experts transforming outdated banking models into agile, technology-driven systems.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 Description Be 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 Overview Employment type: Full-time Shift: Day Shift & Weekends Off Work setup: Permanent Work-From-Home Exciting Perks Await Day 1 HMO coverage with free dependent Competitive Salary Package Permanent WFH arrangement Day shift schedule Fixed weekends off Fully customized Emapta laptop with peripherals Salary 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 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 organization Standard government and Emapta benefits Total of 20 annual leaves to be used on your own discretion (including 5 credits convertible to cash) Fun engagement activities for employees Mentorship and exposure to global leaders and teams Career growth opportunities Diverse and supportive work environment The Qualifications We Seek 3-5 years' experience in Data Analytics focused on fraud risk, AML, compliance, or transaction monitoring , preferably in fintech or financial services Advanced 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 reporting Demonstrated experience developing dashboards and data visualizations using tools such as Sisense, Databricks, Mode, or equivalent BI platforms Solid understanding of statistical methods (hypothesis testing, regression, experimental design) and their application to fraud detection and risk modeling Working knowledge of fraud typologies, AML regulations, and transaction monitoring frameworks Familiarity with ETL/ELT tools (dbt, Airflow) and cloud platforms (AWS) is a plus Your Attributes Possesses 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 Tasks Fraud & AML Analytics Use 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 & Insights Apply 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 & Integrity Design 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 Client In 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 #EmaptaEra #J-18808-Ljbffr