Middle Office Quant Analyst (Singapore base)

Presto

Singapore

On-site

SGD 90,000 - 180,000

Full time

3 days ago
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Job summary

Presto, founded in 2014, is an algorithmic trading and financial services firm with a global footprint. We seek a Quantitative Analyst for the Middle Office to advance risk management and trading support in Singapore, collaborating with traders and engineers.

You will contribute to risk monitoring, framework development, and data-driven insights. The role emphasizes Python/SQL automation, cross-functional communication, and growth within a dynamic, expanding team focused on quantitative trading

Qualifications

  • 2–5 years of experience in risk management or trading operations 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.
  • 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.

Responsibilities

  • Develop and maintain risk monitoring frameworks for equity long/short and multi-strategy portfolios, including factor risk models and performance attribution.
  • Monitor beta, sector, country, and factor exposures across strategies; highlight concentration, drift, and potential risk issues.
  • Analyze crowding, cross-strategy correlation, and common risk drivers across strategies, especially under stress market conditions.
  • Conduct quantitative risk and performance analysis to generate actionable insights for traders, management, and risk governance.
  • Build, automate, and improve analytical tools and dashboards supporting risk management, capital allocation, and performance evaluation.

Job description

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.

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 risk management and trading support 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
  • Develop and maintain risk monitoring frameworks for equity long/short and multi-strategy portfolios, including factor risk models and performance attribution
  • Monitor beta, sector, country, and factor exposures across strategies; highlight concentration, drift, and potential risk issues
  • Analyze crowding, cross-strategy correlation, and common risk drivers across strategies, especially under stress market conditions
  • Conduct quantitative risk and performance analysis to generate actionable insights for traders, management, and risk governance
  • Build, automate, and improve analytical tools and dashboards supporting risk management, capital allocation, and performance evaluation
Requirements
  • 2–5 years of experience in risk management / trading operations 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
Note

The job description provided is a general outline of the role and responsibilities. It is not intended to be exhaustive and may be subject to change based on the needs of the company.

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