Quantitative Developer, Global Oil Desk

Engelhart; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

25 days annual holiday

Medical insurance

Pension contribution

Training & Development

Job summary

Engelhart in London is seeking a technically strong Quantitative Developer to join our Global Oil desk. The role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making and mentorship from senior quants and portfolio managers.

You will build and optimise data infrastructure that supports investment decisions and gain a deep commercial understanding of financial markets while contributing to trading strategies and data

Qualifications

• A recent degree in Computer Science, Data Science, Engineering or a related quantitative discipline.
• Experience working on market modelling, quantitative research or data-heavy projects (academic or professional).
• An understanding of time-series data structures, databases and processing techniques.
• Prior exposure to a bank, trading house, hedge fund or physical trading environment is advantageous.
• Any trading experience or strong market interest is highly valued.

Responsibilities

• Assisting with the design and implementation of scalable architectures for large time-series datasets (market, economic and alternative data).
• Developing and maintaining data pipelines to ingest, clean, and store structured and unstructured datasets.
• Improving and optimising data querying, storage formats and indexing to enable efficient analysis.
• Managing and enhancing database environments, ensuring high performance and reliability.
• Working closely with portfolio managers and traders to ensure data is actionable and aligned with commercial needs.
• Identifying opportunities to extract commercial value from data, not just collecting it.
• Contributing to data standards, documentation and automation of workflows.
• Supporting the development of tools and datasets that directly impact trading strategies and PnL.

Skills

Market modelling

Quantitative research

Time-series data processing

Trading interest/experience

Python

SQL

Education

Bachelor's degree in Computer Science/Data Science/Engineering or related quantitative discipline

Tools

kdb+

InfluxDB

TimescaleDB

AWS

Azure

GCP

Job description

Engelhart in London is seeking a technically strong Quantitative Developer to join our Global Oil desk. The role sits at the intersection of data engineering, quantitative research and trading, with direct exposure to PnL-driven decision-making and mentorship from senior quants and portfolio managers.

You will build and optimise data infrastructure that supports investment decisions and gain a deep commercial understanding of financial markets while contributing to trading strategies and data