Real-Time Quant Risk Analyst

GRASSHOPPER PTE. LTD.

Singapore

On-site

SGD 60,000 - 110,000

Full time

11 days ago

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Job summary

Grasshopper PTE. LTD. is seeking a Junior Quantitative Risk Analyst to join our Risk Team in Singapore. You will design, implement, and maintain real-time risk models that cover market, liquidity, and execution risks across global markets.

You will build VaR frameworks, perform stress testing, calibrate volatility curves, and develop market risk analytics to support scalable, automated trading strategies. The ideal candidate combines risk expertise with a proactive, hands-on approach.

Qualifications

  • 5+ years of institutional risk management and/or trading experience.
  • Experience with exchange connectivity and trading systems.
  • Experience with electronic trading risk and algorithmic trading risk.
  • Strong knowledge of probability and statistics.
  • Degree in a scientific or mathematical discipline.

Responsibilities

  • Work closely with trading teams, developers, and trading operation team to measure and manage risk.
  • Cover day-to-day risk requests, consultations, troubleshoot issues, assist trading teams, deal with brokers/exchanges.
  • Identify key risks in algorithmic strategies, and devise risk mitigating solutions.
  • Lead the design and improvement of margin, stress, credit, liquidity and exposure models across asset classes.
  • Develop pricing, volatility and risk-sensitivity analytics for derivatives.
  • Convert model frameworks into robust, scalable Python code and oversee integration into production systems.

Skills

Risk management
Trading experience
Quantitative finance
Statistics
Stakeholder communication

Education

Science/Mathematics degree

Job description

Grasshopper PTE. LTD. is seeking a Junior Quantitative Risk Analyst to join our Risk Team in Singapore. You will design, implement, and maintain real-time risk models that cover market, liquidity, and execution risks across global markets.

You will build VaR frameworks, perform stress testing, calibrate volatility curves, and develop market risk analytics to support scalable, automated trading strategies. The ideal candidate combines risk expertise with a proactive, hands-on approach.

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