Senior Software Engineer, Strategy Research Analytics
Core
Design, evolve, and maintain mission-critical analytics infrastructure and pipelines supporting research reporting and analysis across investment strategies.
Role type
Senior Software Engineer (Data Infrastructure & Analytics)
Builds
Standardized, observable, query-native analytics platform and foundational datasets for research teams.
Domain
Finance / Quantitative Research / Data Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, distributed query engines, data modeling, schema design, metadata management, data lineage, observability patterns, incident response
Preferred skills
AWS cloud technologies, on-prem compute clusters (Slurm, SSH, Unix), architectural migrations, quantitative research environments
Technologies
Airflow, Presto, Spark, Parquet, ORC
Responsibilities
Own implementation and operation of recurring analytics pipelines including monitoring and alerting; Lead architectural evolution and modernization of legacy workflows; Drive cross-team alignment to consolidate duplicated analytics outputs; Build and maintain base analytics tables with strong schema discipline; Define and implement reliability standards (SLOs, runbooks); Optimize distributed compute and SQL query performance; Mentor engineers on operational rigor.
Seniority
Senior, hands-on IC with mentorship responsibilities
