ETF Pricing Analyst HK

Susquehanna is looking for an ETF Trading & Pricing Analyst to join our Hong Kong Trading team. Working closely with ETF traders and developers, you will support the accuracy and reliability of the pricing data used in our ETF market-making activities. The role combines ETF product knowledge, live problem-solving and technical analysis, with opportunities to improve the tools and processes that support the trading desk.

What you’ll do

• Analyse ETF portfolio composition files (PCFs), net asset values (NAVs), constituent data and other inputs used in ETF pricing.
• Validate pricing inputs and investigate discrepancies in ETF fair values, underlying market data and constituent information.
• Monitor corporate actions, index changes and ETF basket updates, assessing their impact on pricing data and raising relevant issues with traders.
• Work directly with ETF traders to investigate time-sensitive pricing issues, data exceptions and other trading-related queries.
• Support the accuracy and availability of data and processes used in ETF market-making and pricing workflows.
• Collaborate with Technology and Operations teams to troubleshoot issues affecting trading and pricing systems.
• Identify opportunities to improve data quality, monitoring, controls and the reliability of daily pricing processes.
• Use Python, SQL and Excel, as appropriate, to analyse datasets, automate checks and improve existing workflows.
• Develop a strong understanding of ETF structures, underlying securities, index methodologies and market dynamics.
• Contribute to trading-desk projects and enhancements as ETF products and business requirements evolve.

• Experience working with ETFs, financial market data, trading support or a related analytical role; direct ETF pricing experience is advantageous.
• Understanding of ETF structures, underlying securities and the relationship between constituent data and ETF pricing.
• Experience with PCFs, corporate actions, index data or security reference data would be highly regarded.
• Programming experience in Python, with the ability to analyse data and improve or automate workflows.
• Strong Excel skills; SQL experience is an advantage.
• Good numerical and analytical skills, with a structured approach to troubleshooting data and pricing issues.
• High attention to detail and sound judgement when working with time-sensitive information.
• Ability to prioritise and respond effectively in a fast-paced trading environment.
• Clear communication skills and confidence working directly with traders, developers and other teams.
• A proactive, curious approach and genuine interest in financial markets and ETF trading.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

What we do 

Susquehanna’s deep integration of trading, technology and quant research makes us experts in trading essentially all listed financial products and asset classes, with a focus on derivatives. We handle millions of trading transactions around the world every day as both a market maker and market taker. Our efforts provide liquidity and ensure competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized to allow for a deep understanding of the unique drivers of each asset class.

Equal Opportunity Statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.