Senior Python Engineer – ETF Investment Technology
wave worksMcHenry (IL)
Senior Python Engineer – ETF Investment Technology
Posted today
wave worksMcHenry (IL)
SENIORITY
Senior
About the role
Senior Python Engineer – ETF Investment TechnologyLONDON 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 AWSImprove 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 UKUse 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 NumPyProduction 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
DesirableExperience 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. Interested? Apply now or contact Jack White at jack.white@wave-group.io.
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