
VP. AML Risk Analytics & Modelling
- Singapore
- Permanent
- Full-time
- Specializes in data science work and building visualisation dashboards.
- Having more than 8 years of relevant job experience.
- Able to collect, parse, manage, analyze and visualise large sets of data to turn information into insights. Experienced in building descriptive / diagnostic data models.
- Work closely with end-users and other key stakeholders (e.g., Investigation Team, Business Analyst, Data and Ops Engineer) to identify additional areas which require support or future model build.
- Support special/high-priority projects, including building AFC analytical capabilities in response to external (e.g., regulatory) requests or internal intelligence, or based on gaps identified for existing analytical capabilities/models.
- Handle analysis work driven by network linked models.
- Keep abreast with the latest, cutting-edge developments in data science and advanced analytics and recommend adoption of best practices within the bank, in relation to AFC/AML.
- Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.
- Minimum of 8 years of experience in the financial services industry.
- Able to instill strong Model Governance throughout the model development cycle.
- Proficiency in data analysis tools and software, such as SQL, R, Python.
- Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
- Excellent analytical, problem-solving, and decision-making skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.