Manager, Anti-Money Laundering - Risk Analytics and Modelling

About UOB

United Overseas Bank Limited (UOB) is a leading bank in Asia with a global network of more than 500 branches and offices in 19 countries and territories in Asia Pacific, Europe and North America. In Asia, we operate through our head office in Singapore and banking subsidiaries in China, Indonesia, Malaysia and Thailand, as well as branches and offices. Our history spans more than 80 years. Over this time, we have been guided by our values – Honorable, Enterprising, United and Committed. This means we always strive to do what is right, build for the future, work as one team and pursue long-term success. It is how we work, consistently, be it towards the company, our colleagues or our customers.

Job Description

Anti-Money Laundering - Risk Analytics and Modelling is responsible for identifying, assessing, and mitigating risk. May include establishing risk management procedures and processes to ensure adherence to policies. The Analytics, Modeling, & Reporting area is responsible for analyzing and reporting on data sets for a particular area to evaluate, recommend and support the implementation of business strategies and operational processes. Specializes in developing quantitative and analytic models, and applications to support thebusiness by assessing market, credit, and/or operational risks of new and existing financial products. May include risk model validation which specializes in the review, independent testing, and validation of all internal risk models prior to implementation, and throughout the lifecycle.
The Compliance, AML, & Control function is responsible for ensuring that all activities comply with regulatory requirements, including financial crime, anti-money laundering, anti-bribery and corruption, data privacy, and sanctions.

New Model Development

·       Work closely with model end-users and other key stakeholders (e.g., Head of AFC Analytics, Business Analyst, and Data Engineer) to identify additional areas which require analytics support or future model build and include those models in development pipeline.

·       Develop model narratives (e.g., purpose, logic, parameters, data requirements, output surfacing / structuring) in collaboration with the business and other relevant stakeholders.

·       Work closely with other Data Scientist(s) and Business Analyst, and undertake the end-to-end AFC model development, including data wrangling, exploratory data analysis, feature selection, model selection, training, testing, etc.  

·       Build a range of models (rule-based, supervised / unsupervised models, etc.) on structured, semi-structured, and/or unstructured data if needed.

Support Model Maintenance

·       Liaise with Business Analyst to receive and understand business feedback on model performance and incorporate feedback into models.

·       Re-train and recalibrate existing AFC analytical models to prevent model drift periodically or as needed.

Model Governance

·       Support the Head of AFC analytics in identifying enhancements to existing model governance policies and processes, particularly in relation to newly built models.

·       Participate in the model governance process, including but not limited to model testing, assessing models for biases and for compliance with applicable ethics standards.

Skills / Qualifications

·       Bachelor's degree in Data Science, Statistics, Finance, or a related field; a Master's degree or relevant professional certifications are a plus.

·       Minimum 3 years of experience working in the technology space and with experience on advanced analytical models/tools/applications (e.g., machine learning).

·       Experience in or familiarity with analytics related to AML compliance risks.

·       Proficiency in data analysis tools and software, such as SQL, R, Python, or SAS.

·       Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.

·       Comfortable working with structured and unstructured data and distributed databases

·       Familiar with natural language processing and network link analysis

·       Prior experience working on large-scale analytics projects.

·       Excellent analytical, problem-solving, and decision-making skills.

·       Able to instill strong Model Governance throughout the model development cycle.

·       Strong communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.

·       Ability to handle multiple priorities and work under pressure.

Additional Requirements

Be a Part of the UOB Family

UOB is an equal opportunity employer. UOB does not discriminate on the basis of a candidate's age, race, gender, color, religion, sexual orientation, physical or mental disability, or other non-merit factors. All employment decisions at UOB are based on business needs, job requirements and qualifications. If you require any assistance or accommodations to be made for the recruitment process, please inform us when you submit your online application.

Apply now and make a Difference