Responsibilities
Develop maintain Python-based backend services to serve real-time batch risk data at scale.
Build analytics pipelines / dashboards / report using pandas, matplotlib, plotly finternal stakeholders.
Integrate with data systems such as PostgreSQL, ClickHouse, Kafka, Redis, manage workflows via Airflow.
Work closely with the product management team the global developers.
Work closely with the DevOps team to continuously upgrade improve the technology stack.
Requirements
Strong proficiency in Python: In-depth knowledge of Python syntax, libraries(e.g., pandas, numpy, plotly), frameworks (e.g., Django, Flask, FastAPI, Dash).
Expertise in SQL: Solid understanding of relational database concepts, SQL querying, database optimization techniques.
Must have: Python, pandas, matplotlib, plotly, PostgreSQL, Redis, Kafka, Airflow
Nice to have: ClickHouse, Java, Kubernetes/Docker
Preferably experience at an Investment Bank, Hedge Fund Exchange developing trading applications in Equity, FX Derivative products in traditional crypto market,
Proficient in speaking English experienced in collaboration with global teams.
Adapt understTDD methodology, experience on doing automated testing
Strong desire fdoing things better faster, attention to detail holding strong responsibility to his/her tasks.
Open to challenges eager to learn.
Able to work under pressure, fast learner able to adapt changing priorities within a fast-moving industry."
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