Quantitative Developer

Company Overview

Established in 2013 by BTG Pactual Group, Engelhart operates as a commodities trading firm with an agile, asset-light, and diversified business model. This enables rapid adaptability to market dynamics. The firm boasts multidisciplinary teams blending advanced fundamental analysis, quantitative methods, and weather research, supported by rigorous risk management and cutting-edge technology operations. Their inclusive global team, with decades of combined experience, drives success through collaboration across products and expertise.

In 2024, Engelhart expanded through the acquisition of Trailstone, a global energy trading and technology leader, integrating enhanced analytics and proprietary tech to optimize renewable power risk management. This acquisition also broadened Engelhart’s footprint into physical natural gas markets across North America, supporting energy transition goals.

The company values Performance, Agility, Collaboration, and Entrepreneurship as core principles guiding their work culture.

Role Summary

Engelhart seeks a highly skilled Quantitative Developer to join the Global Oil desk at their London office. This position intricately combines data engineering, quantitative research, and trading exposure, contributing directly to profit and loss focused decision-making. The role offers seasoned mentorship from senior quantitative analysts and portfolio managers, providing insight into hedge fund data strategies and macro trading methodologies.

Key Responsibilities

• Design and build scalable architectures for handling extensive time-series data sets, including market, economic, and alternative data sources.
• Develop and maintain robust data pipelines for ingesting, cleansing, and storing both structured and unstructured information.
• Enhance data querying efficiency, storage structures, and indexing for optimal analytical operations.
• Oversee and optimize database systems to ensure consistent high performance and dependability.
• Collaborate directly with portfolio managers and traders to align data products with commercial objectives and actionable insights.
• Identify and capitalize on opportunities to derive commercial advantage from datasets beyond mere collection.
• Contribute to establishing data standards, comprehensive documentation, and automating repetitive workflows.
• Support tool creation and dataset preparation that impact trading strategies and profit and loss outcomes.

Candidate Profile

• Recent graduate with a degree in Computer Science, Data Science, Engineering, or another quantitative field.
• Experience in market modeling, quantitative research, or handling data-intensive projects, either academically or professionally.
• Solid comprehension of time-series data structures, databases, and data processing methods.
• Previous exposure to financial institutions, trading firms, hedge funds, or physical commodity trading environments is a plus.
• Demonstrated interest in trading or direct trading experience is highly advantageous.

Technical Skills

• Proficiency in SQL and Python programming languages.
• Familiarity with libraries such as pandas and NumPy, or their equivalents.
• Knowledge of time series-oriented databases like kdb+, InfluxDB, or TimescaleDB is beneficial.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud is preferred.

Benefits and Perks

• Competitive salary package with eligibility for Engelhart’s discretionary bonus scheme.
• Annual leave of 25 days, not including UK public holidays.
• Extensive benefits including medical, dental, life insurance, generous pension plans, and other partially company-subsidized supplemental benefits.
• Access to both internal and external training opportunities per company training and development policies.

Inclusion and Diversity

Engelhart is committed to fostering an inclusive workplace environment where employees from all backgrounds and identities—covering gender, race, ethnicity, sexual orientation, religion, life experiences, and more—are welcomed and valued. Diversity is viewed as critical to holistic thinking and organizational success.