5 часов назад
Data Engineer - New York (Fintech)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Data Engineer - New York (Fintech): Building scalable data products, quality controls, and integrations for hedge fund operations with an accent on Python-based analysis, data platforms, and vendor data feeds. Focus on automating data validation and observability, integrating live market and trade data, and improving the reliability and performance of high-throughput financial data systems.
Location: New York, New York, United States
Company
is a multi-strategy investment firm founded in July 2024, with more than 400 employees and offices in New York, Houston, London, Singapore, and Hong Kong.
What you will do
- Build customer-centric data products by sourcing, analyzing, cleaning, enriching, and iterating on financial data solutions.
- Develop automated data quality checks, monitoring, and alerting across the data lifecycle.
- Integrate external vendor feeds and internal trade, position-keeping, risk, and central data platform systems.
- Develop configurable data frameworks with telemetry, high availability, robustness, and performance in mind.
- Collaborate with Front Office stakeholders and technology teams, mentor junior analysts, support hiring, and improve workflows.
Requirements
- BSc, MSc, or PhD in Computer Science, Physics, Engineering, or a similar discipline, plus 4+ years of financial industry experience in Front Office, Quant, or portfolio management environments, preferably in a hedge fund.
- Advanced Python and SQL skills, including experience with Pandas, Polars, or Snowpark data frames and modern data warehouses such as Snowflake, Redshift, or BigQuery.
- Hands-on experience with AWS, Google Cloud, or Azure and data services such as Postgres, S3, and Kafka.
- Experience with Linux, Git, DevOps practices, test automation, Airflow, SFTP, and vendor APIs.
- Essential: experience monitoring production systems with Grafana, Prometheus, Datadog, ELK, or similar observability and alerting tools.
- Knowledge of market and reference data, hedge fund workflows, real-time data, third-party providers, and financial data compliance considerations.
Nice to have
- High-throughput, low-latency programming experience with C#, F#, C++, or Java.
- Experience with DBT, live-streaming vendor APIs, and a broad range of asset classes.
Culture & Benefits
- Collaborative work with Front Office stakeholders and technology colleagues.
- Emphasis on technical and analytical excellence, ownership, curiosity, and continuous improvement.
- Inclusive environment focused on diversity of thought and perspectives.
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