Quantitative Data Engineer | GDFI | Experienced Hire

SIG Susquehanna; Dublin; On-site; EUR 50,000 - 75,000; Full time

Job summary

A leading financial services firm in Dublin is seeking a Quantitative Data Engineer to work closely with trading teams. Responsibilities include sourcing data, developing pipelines, and creating impactful reports. The ideal candidate holds a PhD, Masters, or B.Sc. in a technical field and has expertise in Python and data processing. Strong communication skills are essential for collaboration within teams.

Qualifications

• Experience with processing of large and varied data sets.
• Strong interpersonal and communication skills for interacting with traders.
• Experience or interest in capital markets and game theory is a plus.

Responsibilities

• Source and cleanse data, develop and maintain data pipelines.
• Develop, maintain and deploy interactive and packaged reports.
• Performance-tune existing applications and processes.

Skills

Python data science stack

Interpersonal skills

Experience with numeric data storage

Understanding mathematical algorithms

Experience in Linux environment

Education

PhD, Masters or B.Sc. in a technical discipline

Tools

NumPy

pandas

hdf5

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

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