Engelhart - Quantitative Developer
Requirements
• An understanding of libraries such as pandas, NumPy or similar. • Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus. • Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred.
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. • This person will gain direct exposure to real-world trading and macro strategy, collaborating closely with experienced quants and traders. As a result, we believe the following background of experiences and skills will best set up this person for success: • 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. • In addition, the following technical skill set will be complimentary: • Experience with SQL and Python. • An understanding of libraries such as pandas, NumPy or similar. • Familiarity with time series databases (e.g., kdb+, InfluxDB, TimescaleDB) is a plus. • Knowledge of cloud-based data solutions (AWS, Azure, GCP) is preferred.
Benefits
• Competitive compensation and participation in Engelhart’s discretionary bonus plan. • 25 days of annual holiday entitlement, excluding UK public holidays. • Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company. • Eligibility to receive external and internal training in accordance with our Training & Development Policy. • We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.
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