APAC ETF Trader: Arbitrage & Execution

Trading Interview

Singapore

Hybrid

SGD 230,000 - 448,000

Full time

10 days ago

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Benefits offered by this job

Hybrid working opportunities
Wellness reimbursement
Generous paid time off
Breakfast, lunch, snacks

Job summary

Tower Research Capital is a leading quantitative trading firm with a long track record, headquartered near NYC and operating globally. This role focuses on ETF trading and market-making across APAC and other regions, leveraging a high-performance platform and a collaborative engineering culture.

You will work with traders, quants, and engineers to price, monitor, and optimize ETF workflows, including lifecycle events, arbitrage detection, and risk monitoring.

Qualifications

  • Proficiency in Python, SQL, and scripting for data handling, reporting, and automation.
  • Strong understanding of ETF mechanics, pricing, and arbitrage dynamics.
  • Ability to work with traders, quants, and engineers to implement scalable solutions.

Responsibilities

  • Price and trade leveraged and unleveraged ETFs across Japan and Hong Kong.
  • Monitor ETF fair value, tracking errors, and arbitrage opportunities across markets.
  • Develop and maintain reports, dashboards, and monitoring systems for performance and risk.
  • Manage ETF lifecycle events including rebalances, corporate actions, and dividends.
  • Collaborate with researchers to enhance trading strategies and execution quality.
  • Analyze market structure and venue nuances to improve execution.

Skills

Python
SQL
Bash
ETF knowledge
Teamwork

Education

Bachelor's/Master's/PhD in quantitative/technical

Job description

Tower Research Capital is a leading quantitative trading firm with a long track record, headquartered near NYC and operating globally. This role focuses on ETF trading and market-making across APAC and other regions, leveraging a high-performance platform and a collaborative engineering culture.

You will work with traders, quants, and engineers to price, monitor, and optimize ETF workflows, including lifecycle events, arbitrage detection, and risk monitoring.

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