Senior Python Engineer – ETF Investment Technology

Senior Python Engineer – ETF Investment Technology

LONDON or CHICAGO | Contract | Market Rate £ or $ DOE | Initial 6-months

A leading asset manager is modernising the technology behind its ETF business. It needs a senior, hands-on engineer to turn a set of business-critical, desk-built tools into a robust platform the firm can support long term. You’ll do this without disrupting the portfolio managers and quants who rely on those tools every day.

The role

• Design, build, test and support production-grade Python services and analytical applications on PostgreSQL, Snowflake and AWS
• Improve workflows for ETF portfolio construction, basket creation, create-redeem, rebalancing, tracking error, risk analysis, backtesting and tax-aware decision support
• Refactor and consolidate existing tools while keeping their embedded business logic intact
• Introduce clear APIs, service boundaries, reusable components, observability and strong access controls
• Build reliable data flows for market, reference, portfolio, risk and trading data, including Bloomberg and FactSet sources
• Improve data quality, reconciliation and lineage
• Work iteratively with portfolio managers and quants, releasing working software in small increments
• Own production quality through automated testing, CI/CD, root-cause analysis and a support model shared across the US and UK
• Use AI-assisted engineering responsibly for code analysis, testing, documentation and modernisation
• Document the platform and hand knowledge over to permanent teams

Essential requirements

• Direct ETF investment-technology experience is mandatory. You’ll need hands-on work with areas such as basket construction, create-redeem, seeding, rebalancing, optimisation, tracking error, tax-aware workflows, or active and index ETFs.
• Production Snowflake experience is mandatory. This includes data modelling, query and workload performance, access controls, data shares and operational support.
• 7+ years in software engineering, including recent ownership of production applications in asset management or capital markets
• Strong production Python skills that go beyond notebooks, with pandas, Polars or NumPy
• Production PostgreSQL experience
• Hands-on AWS experience, for example ECS/EKS, Lambda, S3, RDS, CloudWatch, IAM, Secrets Manager and infrastructure as code
• A track record of modernising live, business-critical systems incrementally
• Solid API, integration, CI/CD, testing, security and observability practices
• The ability to work credibly with front-office users in an onsite, iterative environment
• Clear written and verbal communication

Desirable

• Experience integrating Bloomberg or FactSet data and managing entitlements, licensing and lineage
• Quantitative finance knowledge, such as portfolio analytics, optimisation, backtesting, risk or attribution
• Experience consolidating desk-built tools into an institutionally supported platform
• Experience working across teams in the US and UK

Please note: applications without both ETF and Snowflake experience won’t be considered.