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Citi is seeking an Engineering Lead to drive the development of a next-generation quantitative development platform within its Equities Technology team. Responsibilities include leading technical direction, mentoring engineers, and contributing to feature creation. The role involves expertise in Python, cloud container technologies, and real-time analytics. Familiarity with Equities Cash and Deriv market mechanics is a plus. The position offers a hybrid workplace, competitive salary, and numerous benefits.
Job Responsibility:
Championing engineering excellence through hands-on feature creation
Rigorous code quality via pull request reviews
Mentoring junior engineers to establish robust coding standards and guardrails
Architecting scalable, secure reusable components
Driving the design process, aligning with or challenging existing blueprints, seeking consensus from senior leads and stakeholders
Staying up to date with open-source solutions and latest trends to accelerate business outcomes.
Requirements:
Extensive background in delivering production-grade, data-centric applications for quantitative trading and analytics
The python data engineering stack (Polars, Parquet, FastAPI, Jupyter, Airflow, Streamlit, Ray)
High-performance data stores and query engines (Starburst, Snowflake)
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