ALM & Financial Analytics Specialist

GREENLANE PRIVATE LTD.; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

GREENLANE PRIVATE LTD. in Singapore is seeking an Asset & Liability Management Officer to support the branch's financial management, ALM monitoring and business performance analysis.

You will monitor deposits and loans, income and profit, Net Interest Margin (NIM) and Risk-Weighted Assets (RWA), and assist with Fund Transfer Pricing (FTP) and ALM reporting. This data‑driven role requires strong analytical skills, SQL and BI/data visualization familiarity, plus English and Chinese proficiency for

Qualifications

• Bachelor’s degree or above in Finance, Economics, Statistics, Computer Science, Mathematics, Business or related discipline
• Minimum 3 years of relevant banking or financial services experience
• Experience in ALM, Treasury, Finance, FP&A, Management Reporting or Financial Data Analytics
• Experience in a bank or financial institution is preferred

Responsibilities

• ALM & Financial Performance Monitoring for the branch, including deposits, loans, revenue, NIM and RWA
• Support FTP framework maintenance and pricing analysis
• Assist with NIM attribution and EVA calculations; monthly revenue/profitability analysis
• Develop data automation and visualization tools for financial analysis
• Prepare materials for ALCO meetings and assist with management reporting

Skills

ALM concepts

NIM analysis

RWA analysis

Data analysis

Excel

SQL

BI tools

FP&A

Stakeholder mgmt

Education

Finance

Economics

Statistics

Computer Science

Mathematics

Business

Tools

SQL

BI tools

Excel

Job description

GREENLANE PRIVATE LTD. in Singapore is seeking an Asset & Liability Management Officer to support the branch's financial management, ALM monitoring and business performance analysis.

You will monitor deposits and loans, income and profit, Net Interest Margin (NIM) and Risk-Weighted Assets (RWA), and assist with Fund Transfer Pricing (FTP) and ALM reporting. This data‑driven role requires strong analytical skills, SQL and BI/data visualization familiarity, plus English and Chinese proficiency for