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UOB

VP, AML Risk Analytics & Modelling , Group Compliance

Reposted Yesterday
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In-Office
Singapore, SGP
Senior level
In-Office
Singapore, SGP
Senior level
This role involves leading data science projects, building analytical capabilities, collaborating with stakeholders, and ensuring model governance in compliance with regulations.
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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

The 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 to 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 Responsibilities

  • Specializes in data science work and building visualisation dashboards.
  • 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.
  • Knowledgeable to apply Gen AI into data science.
  • 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.

Experiences / 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 of 7 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 or 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.

Additional Requirements

University-Bachelor - Data Science & Analytics, University-Bachelor - Finance & Statistics

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

HQ

UOB Singapore, Singapore, SGP Office

80 Raffles Place, Singapore, Singapore, 048624

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