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Business Analyst - Credit (Wholesale/Retail Banking) (JD#10578)

SCIENTE INTERNATIONAL PTE. LTD.

Singapore

On-site

SGD 60,000 - 80,000

Full time

24 days ago

Job summary

A leading recruitment agency in Singapore seeks a highly motivated Business Analyst with a strong background in Credit processes. The ideal candidate will contribute to digital transformation projects leveraging Agentic AI and blockchain technologies. Responsibilities include gathering business requirements, collaborating with stakeholders, and supporting compliance in credit solutions.

Qualifications

  • 5+ years of experience as a IT Business Analyst in banking, with a focus on Credit.
  • Strong understanding of credit lifecycle processes including origination, approval, and collections.
  • Experience in business requirements gathering and stakeholder management.

Responsibilities

  • Gather, analyze, and document business requirements for credit-related processes.
  • Act as a liaison between business stakeholders and technology teams.
  • Conduct gap analysis and propose process improvements.
  • Collaborate with data scientists and solution architects on projects.

Skills

IT Business Analyst
Credit lifecycle processes
Data Analytics
Business requirements gathering
Stakeholder management
Regulatory compliance
Agile methodologies
Excellent communication skills

Tools

JIRA
Confluence
Job description

Job Summary

We are seeking a highly motivated and detail-oriented Business Analyst with a strong background in Credit processes within either Wholesale or Retail Banking. The ideal candidate will play a key role in driving digital transformation projects, particularly those involving Agentic AI and Blockchain technologies.

Mandatory Skill-set

  • Must have 5+ years of experience as a IT Business Analyst in banking, with a focus on Credit (either Wholesale or Retail);
  • Must have strong understanding of credit lifecycle processes including origination, underwriting, approval, disbursement, and collections;
  • Experience in Data Analytics and SDLC;
  • Experience in business requirements gathering, documentation, and stakeholder management;
  • Knowledge of compliance and regulatory requirements in the credit domain;
  • Experience with digital lending platforms or core banking transformation projects;
  • Familiarity with Agile methodologies and tools (e.g., JIRA, Confluence);
  • Excellent communication skills with the ability to engage both business and technical stakeholders.

Desired Skill-set

  • Exposure to or hands-on experience with Agentic AI concepts or tools (e.g., AI agents, autonomous workflows);
  • Understanding of Blockchain applications in banking, especially in areas such as smart contracts, syndicated lending, or identity verification;
  • Knowledge of compliance and regulatory requirements in the credit domain.

Responsibilities

  • Gather, analyze, and document business requirements for credit-related processes in wholesale or retail banking;
  • Act as a liaison between business stakeholders and technology teams to ensure business needs are accurately translated into technical specifications;
  • Conduct gap analysis and propose process improvements aligned with digital transformation goals;
  • Collaborate with data scientists and solution architects in projects involving Agentic AI (e.g., AI agents for decisioning, automation);
  • Participate in design and development discussions for Blockchain-based solutions for credit, KYC, smart contracts, or syndicated lending;
  • Support User Acceptance Testing (UAT) and ensure solutions meet business expectations;
  • Create detailed functional specifications, process flows, and use cases;
  • Monitor regulatory changes and ensure compliance in credit solutions.

To apply, please send your updated resume to apply@sciente.com. By applying, you consent to the disclosure, collection, and use of your personal data for employment/recruitment and related purposes, as per the SCIENTE Group Privacy Policy.

SCIENTE is an equal opportunities employer and welcomes applications from qualified candidates. EA Licence No. 07C5639

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