Data Analyst (Banking / up to $8K)

Business Function • Group Legal, Compliance & Secretariat protects the bank’s reputation, capital, and stakeholder trust. • This hands-on analytics role evaluates watchlist screening and matching systems used for customer and payment screening, including sanctions and PEP screening. • The role applies data analysis and backtesting to develop tuning and rule proposals, assess their effectiveness and risk implications, and support stakeholder approval. Key Responsibilities • Parse, transform, and analyse structured and unstructured screening data, including customer, identity, watchlist, payment-message, and transaction-party data, as applicable. • Compare new and existing watchlist screening and matching systems using defined datasets, scenarios, and effectiveness metrics. • Analyse differences in match generation, detection coverage, false-positive rates, data handling, and processing performance, and identify their root causes. • Develop tuning strategies and propose screening rules, parameters, or configuration changes based on analytical evidence. • Backtest proposed changes using historical and edge-case data to assess detection effectiveness, false-positive rates, operational impact, and residual risk. • Prepare evidence-based proposals for stakeholder approval, documenting the methodology, assumptions, options, expected benefits, limitations, operational impact, residual risk, recommendation, and rationale. • Define analytical datasets, test scenarios, data quality controls, and acceptance measures for comparative assessment. • Maintain reproducible analyses and clear traceability from source data and methods through tests, results, proposals, and decisions. • Develop dashboards and reports covering match volumes, false-positive rates, detection coverage, and processing performance. • Ensure analyses and proposals meet internal standards and are suitable for Compliance and audit review. Candidate Requirements • Bachelor’s degree or equivalent experience in Computer Science, Statistics, Engineering, Data Science, or another quantitative or technical field. • More than five years’ relevant experience, with strong financial crime prevention and data analytics expertise. • Proficiency in Python is mandatory. Experience with enterprise analytical platforms such as CML or CDSW, and with big data or data warehousing, is desirable. • Proven experience parsing, transforming, and analysing large-scale structured and unstructured datasets is mandatory. Candidates must be able to identify patterns, explain outcomes, and work efficiently at scale. • Experience in screening-system comparison, tuning, rule development, and backtesting is required, including assessment of detection effectiveness, operational impact, and residual risk. • Strong knowledge of AML/CFT, watchlist screening, and name-matching concepts, including sanctions and PEP screening. Experience in customer or payment screening, and familiarity with the relevant data and matching attributes, is desirable. • Strong analytical, problem-solving, critical-thinking, and data-visualisation skills, with attention to data quality and reproducibility. • Ability to develop, document, and present clear, evidence-based proposals that balance detection benefits against false-positive rates, operational impact, limitations, and residual risk for stakeholder approval. • Experience using Jira or similar tools to manage requirements, test cases, and defects is desirable. By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd ("PERSOL") and its local and overseas subsidiaries and affiliates to collect, use and disclose your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s health advisories and such other purposes stated in our Privacy Policy. We may use artificial intelligence ("AI") and machine learning technologies to support our recruitment and placement services, including screening resumes, assessing qualifications and experience, and identifying skills and job matches. Where permitted by applicable law, we may also use such personal data to develop, train, test, improve and/or fine-tune AI and machine learning technologies that support our recruitment and business operations. For more information on how we collect, use, disclose and protect your personal data, please refer to our Privacy Policy: https://www.persolsingapore.com/policies.If you wish to withdraw your consent, including consent relating to the use of your personal data for AI-enabled recruitment activities and AI development activities, please email us at sg.dataprotection@persolapac.com . PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R1877971 (Derrick Tiew Yong Han)