Quantitative Engineer - Consumer & Wholesale
Core
Designing and implementing scalable software components and big data pipelines to enable data and analytical capabilities for risk management and regulatory requirements.
Role type
Quantitative Engineer (Big Data & Modeling)
Builds
Reusable software components, big data pipelines, and testing frameworks for Global Risk
Domain
Financial Services / Risk Management / Big Data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, Pandas, Software Development Lifecycle, Big Data technologies (Spark, PySpark, Hadoop, Hive), Data Modeling, Quantitative Methods (regression, classification, clustering), Unit Testing, Regression Testing
Preferred skills
React, Angular, JavaScript, Financial Modeling, Process Automation, Distributed Computing Paradigms
Technologies
Python, Pandas, Spark, PySpark, Hadoop, Hive, React, Angular, JavaScript
Responsibilities
Build performant big data pipelines; Apply quantitative methods to develop capabilities meeting business and regulatory needs; Source and evaluate data for modeling and testing; Design and implement models and tests; Collaborate with stakeholders to understand modeling processes; Produce technical documentation for internal and regulatory purposes.
Seniority
Mid-level, hands-on IC
