Senior Analyst, Data Science
Core
Design and build models, analyses, and decision-support tools to drive transformation across home-office functions (Service, Operations, Supervision, Compliance, Legal, Risk) for a Fortune 500 broker-dealer.
Role type
Senior IC data scientist (applied ML & causal inference)
Builds
Risk tiering, surveillance, alert prioritization, anomaly detection, segmentation, and workload/cost-to-serve models
Domain
Financial services (broker-dealer) / Regulatory compliance / Risk management
Deliverable
production ML models
Required skills
Python (production code, Git), SQL, Snowflake, statistical methods (hypothesis testing, regression), causal inference, experimental design (A/B tests), anomaly detection, data visualization
Preferred skills
FINRA-registered broker-dealer experience, knowledge of SEC/FINRA regulatory framework, active FINRA registration (Series 7/24/99)
Technologies
Python, SQL, Snowflake, Git
Responsibilities
Design and execute end-to-end analyses from data extraction to interpretation; build, validate, and deploy supervised and unsupervised ML models; design and analyze A/B tests and observational studies; communicate complex analytical outputs to stakeholders; document workflows and code for reproducibility
Seniority
Senior, hands-on IC
