Role Overview
The ETF Quant Developer is responsible for designing, implementing, and maintaining production-grade software supporting ETF portfolio construction, index tracking, rebalancing, risk analytics, and execution workflows.
Reporting to the Head of Quant Technology, this individual will work closely with the ETF Team, Portfolio Managers, Investment teams, and Technology partners to ensure that the ETFs products are implemented efficiently, at scale, with strong controls, governance, and data integrity.
The ideal candidate combines strong software engineering discipline with a good understanding of financial markets-particularly ETFs, equity indices, factor strategies, and portfolio optimization.
Key Responsibilities
- Design, Develop and maintain production-grade quantitative libraries for ETF portfolio construction, index replication, and rebalancing logic.
- Develop pre- and post-trade analytics covering implementation shortfall, slippage, market impact, and transaction cost attribution.
- Build monitoring tools for ETF market quality metrics, including premium/discount, basket accuracy, NAV dissemination checks, and tracking difference drivers.
- Work closely with Authorized Participants, Market Makers, custodians, and calculation agents to reliably create and redeem shares.
- Work closely with operations and fund accounting teams to ensure data consistency across portfolio systems, custodians, and administrators.
Required Qualifications
- 7-10+ years of experience in quant development, quantitative engineering, or financial systems development within asset management, hedge funds, or investment banks.
- Strong experience with software engineering best practices: modular design, APIs, testing, performance optimisation, and clean code.
- Expertlevel proficiency in Python and R for building productiongrade quant systems. Strong SQL skills and experience working with relational databases.
- Experience designing and operating high-quality data pipelines, batch workflows, and data quality controls for validation, lineage, and monitoring. Experience working with market data providers and sourcing/managing production quality data.
- Experience building intraday tools to monitor liquidity, spreads, and capacity, supporting execution decisions around rebalances and index events.
- Experience working directly with ETF Portfolios or Index Strategies. Strong understanding of ETF structure and lifecycle, including creation/redemption mechanics, AP/market maker ecosystem.
Education
- Bachelor's or master's degree in computer science, Engineering, Mathematics, Physics, or a related quantitative discipline.
