Middle Office Quantitative Analyst

About Presto

Established in 2014, Presto is a global algorithmic trading and financial services company dedicated to providing outstanding client value through a rigorous, research-centric approach to investments and trade execution.

Middle Office Overview

The Middle Office is fundamental to Presto's operations, overseeing risk management, performance analysis, compliance, business development, and trade operations. While grounded in quantitative and automated methods, the team is broadening its scope to actively enhance business expansion and optimize worldwide trading activities.

Role Summary

We are looking for an enthusiastic Quantitative Analyst with a background in risk management and trade support to become part of our expanding Middle Office Quant team. This role offers the chance to collaborate with seasoned specialists on diverse, complex projects. The ideal candidate is detail-focused, responsible, growth-oriented, and passionate about quantitative trading, risk, and data analytics, with opportunities to make impactful contributions and receive recognition.

Key Responsibilities

• Create and sustain risk monitoring systems for equity long/short and multi-strategy portfolios, including factor risk modeling and performance attribution.
• Track exposures including beta, sector, country, and factor across various strategies, identifying concentration risks, drifts, and potential issues.
• Examine crowding, inter-strategy correlations, and shared risk factors, particularly under stressed market scenarios.
• Perform quantitative analyses of risk and performance to deliver actionable insights to traders, management, and risk oversight functions.
• Design, automate, and enhance analytical tools and dashboards to support risk control, capital allocation, and performance assessment.

Candidate Requirements

• Between 2 to 5 years of experience in risk management or trading operations within hedge funds, proprietary trading, or prime brokerage sectors.
• Practical experience in supporting long/short equity and derivatives trading, encompassing trade lifecycle management, position and PnL reconciliation, and collaboration with trading and investment teams.
• Advanced skills in Python for data analysis and automation, proficiency in SQL for data extraction and manipulation, and familiarity with Linux operating environments.
• Strong communication abilities to effectively interact with traders, engineers, and external partners in English.

Preferred Qualifications

• Background in hedge funds focused on long/short equity strategies.
• Understanding of prime brokerage workflows and experience handling broker data such as confirmations, statements, margin, and financing.
• Capability to independently identify and resolve trading, position, and PnL discrepancies under time pressure.
• Experience in collaborative problem-solving with traders, engineers, and external counterparties to troubleshoot and implement solutions.
• Robust quantitative and analytical mindset for interpreting trading and risk-related data.

Additional Information

The described job responsibilities provide an overview of the expected role and may evolve in response to company requirements.