- Outram Central Region (Singapore) Singapore
PERSOL Hiring! Full Time Business Analyst (Banking-Python) in Central Region (Singapore), Earn up to SGD 8,000 - Ricebowl
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Job Description
Responsibilities
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.
Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at ************* You acknowledge that you have read, understood, and agree with the Privacy Policy.
PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R1877971 (Derrick Tiew Yong Han)
PERSOL is Asia-Pacific’s leading Staffing and HR solutions partner, operating across 13 markets with deep local insight and regional scale. With more than 80 offices and decades of experience, we deliver integrated workforce solutions that are tailored, tech-enabled, and designed for the dynamic world of work.
We combine human expertise with smart technology to help organisations solve workforce challenges, unlock potential, and stay ahead of change. From recruitment and talent management to workforce strategy and advisory, our collaborative approach puts your goals at the centre.
In 2025, we came together under the PERSOL name — reflecting our bold vision for the future of work and our Group’s Vision: Work and Smile.
Whether you’re building teams, growing careers, or transforming how work gets done, we’re here.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd 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.
Our full Privacy Policy is available at ************* If you wish to withdraw your consent, please drop us an email at "*************" to let us know. Please feel free to contact us if you have any queries.
For more information, please visit *************
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.
Interested candidates may apply through the application system. We regret to inform only Shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at ************* You acknowledge that you have read, understood, and agree with the Privacy Policy.
PERSOL Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394 • EA Registration No. R1877971 (Derrick Tiew Yong Han)
PERSOL is Asia-Pacific’s leading Staffing and HR solutions partner, operating across 13 markets with deep local insight and regional scale. With more than 80 offices and decades of experience, we deliver integrated workforce solutions that are tailored, tech-enabled, and designed for the dynamic world of work.
We combine human expertise with smart technology to help organisations solve workforce challenges, unlock potential, and stay ahead of change. From recruitment and talent management to workforce strategy and advisory, our collaborative approach puts your goals at the centre.
In 2025, we came together under the PERSOL name — reflecting our bold vision for the future of work and our Group’s Vision: Work and Smile.
Whether you’re building teams, growing careers, or transforming how work gets done, we’re here.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd 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.
Our full Privacy Policy is available at ************* If you wish to withdraw your consent, please drop us an email at "*************" to let us know. Please feel free to contact us if you have any queries.
For more information, please visit *************
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