Treasury Analytics Intern: Cash, Liquidity & Data

Arrowpoint; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Competitive remuneration

Career growth

Leadership exposure

Exposure to cutting-edge strategies

Job summary

Arrowpoint, a Singapore-based hedge fund, seeks a candidate for treasury data analytics and automation. You will build automated workflows for margin requirements, ingest large data sets, and design dashboards to track liquidity and financing costs.

Ideal candidates are pursuing or have completed degrees in Finance or related fields, with Python/SQL/VBA proficiency and Bloomberg exposure. You will collaborate cross-functionally in a fast-paced environment.

Qualifications

• Currently pursuing or recently completed a degree in Finance, Economics, Accounting, or a related field.
• Background in Data Analytics, Computer Science, or a quantitative discipline is a plus.
• Proficiency in Python, SQL, VBA; familiarity with Bloomberg and data visualization tools.

Responsibilities

• Support daily cash management, funding, and liquidity monitoring across the fund's trading entities.
• Assist with counterparty and prime broker relationship management and reconciliation.
• Monitor financing activity and settlement processes; support treasury reporting.
• Help analyse the treasury portfolio, including financing mix, tenor, and counterparty concentration.
• Build and maintain automated workflows to calculate and validate margin requirements.
• Design dashboards and reports to track margin usage, trends, and exceptions.
• Partner with technology teams to improve data pipelines feeding treasury systems.
• Identify opportunities to reduce funding costs through efficient collateral usage.

Skills

Python

SQL

VBA

Education

Finance

Tools

Bloomberg

Power BI

Tableau

Job description

Arrowpoint, a Singapore-based hedge fund, seeks a candidate for treasury data analytics and automation. You will build automated workflows for margin requirements, ingest large data sets, and design dashboards to track liquidity and financing costs.

Ideal candidates are pursuing or have completed degrees in Finance or related fields, with Python/SQL/VBA proficiency and Bloomberg exposure. You will collaborate cross-functionally in a fast-paced environment.