5+ years professional software engineering experience
3+ years python primary language experience
Extensive polars pandas or numpy experience
The role involves architecting and optimizing mission-critical data pipelines that process over 1 billion order events daily to prevent fraud and money laundering
Job Summary
The role involves architecting and optimizing mission-critical data pipelines that process over 1 billion order events daily to prevent fraud and money laundering.
Candidates will collaborate with quantitative engineers and compliance stakeholders to translate complex business requirements into scalable surveillance solutions.
The position offers a hybrid work model requiring 3 days in the office in Greenwich, CT, along with competitive salary, performance bonuses, and stock grants.
Matching Summary
The role involves architecting and optimizing mission-critical data pipelines that process over 1 billion order events daily to prevent fraud and money laundering.
Salary
Competitive salary; Annual performance-based bonus and stock grant; Retirement plan 401(k) with company match
Skills & Requirements
Must-have
5+ years professional software engineering experience
3+ years Python primary language experience
Extensive Polars Pandas or NumPy experience
Thorough understanding of databases and SQL
Experience with Linux operating systems
Nice-to-have
Experience with data engineering or ETL pipelines
Knowledge of finance domain
Knowledge of C++ or Java programming
Masters or PhD degree preferred
Self-motivated ability to handle tasks with minimal supervision
Key Requirements
Bachelor's or master's degree in Computer Science
5+ years professional software engineering experience
3+ years professional experience in Python as primary language