job description
Join BDO Unibank as a Data Scientist - Compliance Analytics and play a pivotal role in leveraging AI and Machine Learning to enhance compliance and risk management frameworks. Based in the vibrant and dynamic location of Bali, you will work on cutting-edge predictive analytics models to detect and prevent financial crimes, ensuring regulatory compliance and safeguarding the bank's integrity.
This role offers a unique opportunity to blend your expertise in data science with the critical domain of compliance, particularly in Anti-Money Laundering (AML) and fraud detection. You will collaborate with cross-functional teams to develop innovative solutions that drive operational efficiency and mitigate risks.
At BDO Unibank, we are committed to fostering a culture of innovation, continuous learning, and professional growth. If you are passionate about transforming data into actionable insights and making a tangible impact in the financial sector, we invite you to apply and be part of our mission to deliver excellence in banking services.
Responsibility
- Develop and implement advanced AI and Machine Learning models to enhance compliance analytics, focusing on AML and fraud detection.
- Design predictive analytics solutions to identify patterns and anomalies in transactional data, ensuring timely and accurate risk assessments.
- Collaborate with compliance, risk management, and IT teams to integrate data-driven insights into existing compliance frameworks.
- Conduct data exploration and statistical analysis to uncover trends and provide actionable recommendations for improving compliance processes.
- Create and maintain dashboards and reports to visualize compliance metrics and key performance indicators for stakeholders.
- Stay abreast of emerging trends in data science, regulatory requirements, and financial crimes to continuously enhance the bank's compliance strategies.
- Ensure data quality and integrity by implementing robust data validation and cleansing processes.
- Provide training and support to internal teams on the use of data science tools and techniques for compliance purposes.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Minimum of 3 years of experience in AI, Machine Learning, and Predictive Analytics, with a focus on compliance or financial services.
- Experience in banking and/or AML-related projects is highly desirable.
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., TensorFlow, scikit-learn, Pandas).
- Strong knowledge of statistical analysis, data mining, and machine learning techniques.
- Familiarity with compliance regulations and frameworks, particularly in the financial sector.
- Excellent problem-solving skills and the ability to translate complex data insights into actionable business strategies.
- Strong communication and collaboration skills to work effectively with cross-functional teams.