WHO WE ARE:
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.

Your Opportunity Starts Here.

Why Join Join a newly established team at the forefront of applying AI and advanced analytics to combat financial crime. As an early team member, you will help shape new investigative approaches, uncover emerging threats, and make a tangible impact on the Bank's financial crime detection capabilities.
How You Succeed You will succeed by combining strong analytical skills with investigative curiosity to identify meaningful patterns, uncover hidden risks, and generate actionable intelligence. The ability to synthesize information from multiple sources and collaborate effectively with stakeholders will be key to delivering successful investigative outcomes.

What you do

• Perform network-link analysis and intelligence leads-generation through the innovative usage of AI, combined with data from internal bank systems, data analytics tools, open-source intelligence (OSINT), and other external information sources to support and progress investigations.
  
• Support and participate in investigations relating to money laundering, fraud, sanctions evasion, mule account activities, corruption, and other financial crime typologies.
  
• Conduct transactional reviews and analyze customer, account, and relationship data to perform outlier analysis, analyze behavioural patterns and establish criminal networks.
  
• Assist in identifying emerging financial crime trends, illicit syndicates, and typologies that may present heightened risks to the Bank.
  
• Support the development and refinement of investigation methodologies, analytical frameworks, and intelligence products to enhance investigative effectiveness.
  
• Prepare clear and concise investigation reports, intelligence assessments, management presentations, and case summaries for internal stakeholders.
  
• Collaborate closely with various stakeholders from Financial Crime Compliance, Business Units, and other control functions.
  
• Maintain awareness of evolving financial crime regulations, typologies, and intelligence developments relevant to the banking and wealth management sectors.
  
• Support ad-hoc intelligence and investigative initiatives undertaken by the GSI team.
  

Who you are
Education & Experience

• Bachelor's Degree in Accounting, Finance, Business, Economics, Criminology, Data Analytics, Law, or a related discipline.
  
• Minimum 3 to 5 years of relevant experience in financial crime compliance, investigations, intelligence analysis, transaction monitoring, AML surveillance, or related compliance functions within a financial institution. Candidates with Private Banking Compliance, Wealth Management Compliance, or Private Banking Financial Crime Compliance may have an advantage.
  

Technical & Professional Skills

• Good understanding of Anti-Money Laundering (AML), Counter-Terrorism Financing (CTF), sanctions, fraud, and financial crime risk management principles.
  
• Experience conducting investigations and analyzing complex customer relationships, transaction flows, and source-of-wealth/source-of-funds information.
  
• Strong analytical and problem-solving skills with the ability to assess large datasets and identify meaningful patterns and connections.
  
• Advanced proficiency in Microsoft Excel.
  
• Prior experience deploying data-analytics tools or machine-learning models in the financial-crime domain is an advantage.
  
• Familiarity with private banking products, client structures, trusts, offshore entities, and high-net-worth client risk considerations is preferred.
  

Personal Attributes

• Strong intellectual curiosity and problem-solver mindset.
  
• Excellent written and verbal communication skills with the ability to present findings clearly and concisely.
  
• Strong stakeholder management and collaboration skills.
  
• Self-motivated, detail-oriented, and able to work independently in a fast-paced environment.
  
• High level of integrity and discretion when handling sensitive information.
  

What we offer:
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.