Quant Data Engineer

HRB; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A global Asset Management firm is seeking a meticulous Quant Data Engineer to develop and maintain the Quant Data API. This role focuses on providing essential historical and real-time data for research and trading strategies, while ensuring data quality and validation. Ideal candidates will possess significant Python experience and familiarity with trading data in various markets.

Qualifications

• Experience in building Python data APIs.
• Writing data validations in Python is essential.
• Familiarity with Futures, FX, or options market data is preferred.

Responsibilities

• Develop and maintain the Quant Data API for historical and real-time Bars data.
• Work closely with research PMs to ensure data quality for strategies.
• Validate data quality for research analysis and live trading.

Skills

Python

Data validation

Systematic trading

Data quality identification

Market data experience

Job description

Our client, a global Asset Management firm, is looking for a meticulous hands-on Quant Data Engineer to provide historical and real-time bar data to Quant PMs for research and live strategies. The engineer will develop and maintain the Quant Data API for historical and real-time Bars data, used for research analysis and live trading. The candidate will work closely with the research PM to ensure the data required for a given strategy is provided, including validation of data quality.

Requirements:

• Experience building Python data APIs
• Experience writing data validations in Python
• Systematic trading experience
• Keen eye for identifying data issues
• Experience with Futures, FX, or options market data
• Experience working with time series bars and real-time data