First / senior vp, head of advance modelling analytics
1 week ago
First / Senior VP, Head of Advance Modelling AnalyticsPosting Date: 21 Sep 2024
Location: Singapore, SG
Company: United Overseas Bank Ltd
About UOBUnited 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.
About the DepartmentThe Compliance function is a strategic partner and a trusted business enabler to the Board and senior management. It is our responsibility to ensure that the Group continuously fulfils its regulatory obligations in today’s tight and dynamic regulatory landscape. To do that, we work closely with internal stakeholders to identify and assess regulatory risks. This collaboration also includes developing practical solutions that integrate regulations into operational requirements as well as actively shaping and promoting stronger compliance culture and literacy in the Bank.
Job ResponsibilitiesUnited Overseas Bank Limited is seeking an experienced and highly motivated individual to lead our Advance Modelling Analytics team within the Group Compliance department. The ideal candidate will have a strong background in data analysis, risk management, and financial services, with a focus on Anti Money Laundering (AML) and Sanctions detection and prevention.
Responsibilities:
Develop, implement, and maintain a comprehensive AML / Sanctions analytics strategy to identify, assess, and mitigate financial crime risks across the organization.
Lead and manage design, develop, test and operationalise detection models, rules, algorithms and dashboards to enhance the bank's AML / Sanctions prevention capabilities.
Lead and manage the Advance Modelling Analytics team, providing guidance, mentoring, and support to ensure the team's success.
Oversee the monitoring, analysis, and reporting of AML / Sanctions related data to drive continuous improvement in detection and prevention efforts.
Collaborate with various internal and external stakeholders to identify, evaluate and monitor emerging AML / Sanctions trends and risks.
Develop and implement model development policies, procedures, and controls.
Assist in compliance with applicable laws, regulations, and industry good practices related to AML / Sanctions prevention and detection by leveraging advanced data analytics techniques and solutions.
Continuously evaluate the effectiveness of the AML / Sanctions analytics program and recommend improvements as needed.
Job RequirementsRequirements:
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 12 years of experience in the financial services industry, with at least 8 years in a AML / Sanctions analytics or risk management role. Prior experience in Anti Fraud domain is a plus.
Proven experience in developing and implementing AML / Sanctions analytics strategies and solutions.
Able to instill strong Model Governance throughout the model development cycle.
Strong project management skills with experience in leading large projects and establishing new operating models.
Strong knowledge of financial services regulations, industry best practices, and emerging AML / Sanctions trends.
Excellent analytical, problem-solving, and decision-making skills.
Proficiency in data analysis tools and software, such as SQL, R, Python, SAS or Network Link Analysis.
Experience with big data analytics tools and frameworks, including Hive, Spark, and Impala.
Experience with handling automation software and tools as well as data architecture and landscape.
Demonstrated leadership and team management abilities.
Excellent communication and interpersonal skills, with the ability to collaborate effectively across various business units and functions.
Be a part of UOB FamilyUOB 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.#J-18808-Ljbffr
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