Trading & Settlement IT Analyst

KGI SECURITIES (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 75,000 - 95,000; Full time

Job summary

KGI SECURITIES (SINGAPORE) PTE. LTD. is looking for a detail-oriented Business Analyst to support IT solutions for trading and settlement operations. This role requires a blend of technical knowledge and business acumen, translating operational needs into scalable systems.

Responsibilities include gathering requirements, participating in the software development lifecycle, and ensuring optimal performance of back office systems. Candidates should have 5-10 years of relevant experience and strong communication skills.

The ideal applicant will demonstrate a robust understanding of securities markets and be proficient in data analysis tools.

Qualifications

• 5-10 years of business analysis experience, ideally in IT roles within financial services.
• Experience in settlement systems and post-trade operations is required.
• Strong proficiency in SDLC methodologies such as Agile.

Responsibilities

• Gather and document detailed business requirements from various stakeholders.
• Participate in all phases of the software development lifecycle.
• Support and optimise back office settlement systems.

Skills

SDLC expertise

Technical architecture understanding

Deep knowledge of post-trade settlement processes

Data analysis skills (Excel, Python, SQL)

Attention to detail

Education

Bachelor's degree or Diploma in IT, Business, Finance, or related

Tools

Settlement platforms (Broadridge, CVS/QST)

Trading systems (Bloomberg)

Job description

KGI SECURITIES (SINGAPORE) PTE. LTD. is looking for a detail-oriented Business Analyst to support IT solutions for trading and settlement operations. This role requires a blend of technical knowledge and business acumen, translating operational needs into scalable systems.

Responsibilities include gathering requirements, participating in the software development lifecycle, and ensuring optimal performance of back office systems. Candidates should have 5-10 years of relevant experience and strong communication skills.

The ideal applicant will demonstrate a robust understanding of securities markets and be proficient in data analysis tools.