Data Engineer - Equities - Systematic Quant Fund

Vertus Partners Ltd; Greater London; On-site; GBP 140,000 - 160,000; Full time

Job summary

Vertus Partners Ltd is seeking a Data Engineer for the Equities - Systematic Quant Fund in London. You will join the Front Office Data team to build data for trading and research, focusing on high-quality reference data and real-time reporting.

The role emphasizes Python development, data libraries, and collaboration with traders and researchers. A strong educational background and experience with financial datasets are required.

Qualifications

• Experience with financial datasets.
• Strong Python programming and design experience.
• Experience working with Front Office stakeholders.
• Excellent communication skills.
• Top educational background.

Responsibilities

• Working hand-in-hand with Trading and Research functions to produce data for trading.
• Working with realtime data to construct reports used by Research teams.
• Scaling the availability of reference data, with a focus on data quality.
• Programming predominantly in Python, with a focus on data libraries.

Skills

Python

Financial datasets

Front Office stakeholders

Communication skills

Education

Top educational background

Job description

• Location:

  London

• Sector:

• Job type:

• Salary:

  £140000 - £160000 per annum + 30 - 50% Bonus

• Contact email:

  [e-mail]

• Job ref:

  DE/FF/0102

Data Engineer - Equities - Systematic Quant Fund

A leading Systematic Trading Firm are looking to bolster their Front Office Data team by hiring a Quantitative Data Engineer.

Responsibilities:

• Working hand-in-hand with Trading and Research functions to produce data for trading.

• Working with Realtime Data to construct reports, that are utilised by Research teams.

• Scaling the availability of reference data, with a focus on the quality of the data.

• Programming predominantly in Python, with a strong focus on data libraries.

Requirements:

• Previous experience working with Financial Datasets.

• Strong programming and design experience in Python.

• Experience working with Front Office Stakeholders

• Very strong communication skills.

• Top Educational Background.