Overview
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Work setup & shift: Work from Home | Dayshift
Responsibilities
- 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 dashboards and visualisations to track key risk indicators (KRIs) and communicate findings to stakeholders across the business.
- 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.
- Designing and maintaining robust data pipelines and datasets to support risk and compliance analytics needs.
- Constructing and optimising processes to ensure the highest standards of data accuracy and reliability in all risk-related reporting and analysis.
What You Need
- 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 (e.g., dbt, Airflow) for building analytical datasets.
- Cloud experience in AWS is advantageous
About MicroSourcing
With over 9,000 professionals across 13 delivery centers, MicroSourcing is the pioneer and largest offshore provider of managed services in the Philippines.
Our commitment to 100% YOU
MicroSourcing firmly believes that our company's strength lies in our people's diversity and talent.
We are proud to foster an inclusive culture that embraces individuals of all races, genders, ethnicities, abilities, and backgrounds.
We provide space for everyone, embracing different perspectives, and making room for opportunities for each individual to thrive.
At MicroSourcing, equality is not merely a slogan – it's our commitment.
Our way of life.
Here, we don't just accept your unique authentic self - we celebrate it, valuing every individual's contribution to our collective success and growth.
Join us in celebrating YOU and your 100%!
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