Quantitative Data Engineer | Options | Experienced Hire

Key Skills

Agile methodologies, Linux Operating system, NoSQL, NumPy, Pandas, Python Programming, PyTorch, SQL, UI design, Unix Operating system, UX design

Job Description

Overview

As a quantitative data engineer you will be working together with the quantitative research and trading teams, as well as with the trading strategy developers to:

• Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
• Assist with researching new trading opportunities;
• Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
• Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets;

What we’re looking for

• PhD, Masters or B.Sc. in a technical discipline
• Experience with the Python data science stack: NumPy, pandas etc.
• Experience with numeric data storage methodologies, e.g. hdf5
• Experience with processing of large and varied data sets
• Experience of working in a Linux environment
• Ability to understand mathematical algorithms and develop high-performance implementations
• Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers
• Experience or interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus

Susquehanna is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at Susquehanna via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of Susquehanna, and no fee will be paid in the event the candidate is hired by Susquehanna.