Middle Office Quant Analyst

Presto

Singapore

On-site

SGD 60,000 - 90,000

Full time

14 days+

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Job summary

Presto in Singapore is seeking a motivated Quantitative Analyst to join their Middle Office Quant team. This role involves supporting trading operations, risk management, and data analysis. Candidates should have 2–5 years of relevant experience in a hedge fund or trading firm, with strong skills in Python and SQL. The company offers opportunities for career growth, a collaborative environment, and a chance to contribute directly to impactful projects.

Qualifications

  • 2–5 years of experience in trading operations or middle office.
  • Hands-on experience with long/short equity and derivatives trading.
  • Strong proficiency in Python, SQL, and data analysis.

Responsibilities

  • Perform daily reconciliation of positions, trades, and PnL.
  • Identify and resolve discrepancies for accurate trading operations.
  • Develop tools to support trading operations and risk management.

Skills

Trading operations support
Risk management
Data analysis
Communication in English
Python
SQL

Tools

Linux environments

Job description

About Presto

Founded in 2014, Presto is an algorithmic trading and financial services firm with a global presence. Presto focuses on delivering exceptional value for clients through a rigorous research‑driven approach to investment and trade execution. With more than a 100 million trade executions in a day, Presto is a leading financial services firm in both digital assets and traditional finance markets.

About Middle Office

The Middle Office is a core pillar of our business, handling risk management, performance evaluation, compliance, business development and trading operations. While our foundation is quantitative and automated, we are expanding our capabilities to proactively drive business growth and optimize our global trading footprint.

About Role

We are seeking a motivated Quantitative Analyst with experience in equity trading support and risk management to join our Middle Office Quant team. Joining this dynamic and rapidly expanding team offers you the chance to collaborate with experienced professionals on various challenging projects. This position is ideal for a detail oriented responsible person with a growth mindset who is passionate about quantitative trading, risk management, and data analysis. You will have direct opportunities to contribute and gain recognition for your work.

Responsibilities
  • Perform daily reconciliation of positions, trades, and PnL across multiple equity markets and long short strategies
  • Proactively identify and resolve discrepancies to ensure accurate and uninterrupted trading operations
  • Develop, maintain, and optimize tools to support trading operations, risk management, capital analysis, and other business functions
  • Conduct quantitative research and analysis to generate actionable insights for the business and management teams
  • Collaborate closely with traders, engineers, and management to gather requirements and deliver efficient, scalable solutions.
Requirements
  • 2–5 years of experience in trading operations / middle office / risk within a hedge fund, prop trading firm, or prime brokerage environment
  • Hands‑on experience supporting long/short equity and derivatives trading, including trade lifecycle, position/PnL reconciliation, and interaction with trading / investment teams
  • Strong proficiency in Python (data analysis and automation), SQL (data extraction/manipulation), and familiarity with Linux environments
  • Ability to communicate effectively with traders, engineers, and external counterparties in English
Preferred
  • Experience in hedge funds with long short equity strategy
  • Familiarity with prime brokerage workflows and broker data (confirmations, statements, margin, financing)
  • Ability to independently investigate and resolve trading, position, and PnL discrepancies under time constraints
  • Ability to work closely with traders, engineers, and external counterparties to diagnose issues and deliver solutions
  • Strong quantitative and problem‑solving mindset; ability to analyze trading and risk data
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